• List of Articles فازی

      • Open Access Article

        1 - Evaluating Indicators of Organizational Agility by Fuzzy Multi Criteria Decision Making: (Iran Power Development Organization)
        Zeinolabedin Akbarzadeh Mohammad valipourkhatir Mohammad mohammadpouromran
        Agility makes it possible for organizations in today's complex and constantly changing environment to ensure their survival with rapid, innovative and creative responses. In this regard, the present study attempts to study main indicators of agility in Iran Power Develo More
        Agility makes it possible for organizations in today's complex and constantly changing environment to ensure their survival with rapid, innovative and creative responses. In this regard, the present study attempts to study main indicators of agility in Iran Power Development Organization (IPDO). Firstly, four main criterions referring to the literature selected include of “leveraging impact of people and information”, “cooperate to enhance competitiveness”, “enriching customer”, “mastering change and uncertainty”. Subsequently, by designing questionnaire and determining it’s content validity by academic members, intuitive data from IPDO experts has been collected. Then, reliability has been evaluated using Gous method for consistency examination of pairwise comparisons matrix. Finally data were analyzed using fuzzy multi-criteria decision making technique. The findings shows that “cooperate to enhance competitiveness” with the importance degree (0.301) is the most importance of the main criterion for selecting the more agile organizational unit. While in Iran Power Development Organization it has third priority. The main criteria “leveraging impact of people and information” with the importance degree (0.277), “mastering change and uncertainty” with the importance degree (0.238), “enriching customer” with the importance degree (0.184), were three next most important criterion in the selection of organizational units are more agile. The results point out that IPDO should be more focus on the priority of indicators affecting the agility to minimize the gap between current and desired situation. Manuscript profile
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        2 - The application of Fuzzy Delphi Method and Fuzzy AHP in Verification and Ranking of Effective Indexes on Organizational Entrepreneurship
        Hossein Samadi-Miarkolaei hamze  samadi miyarkolaei masoud bastami
        Organizational entrepreneurship as one of the main forms of entrepreneurship plays a key role in the success of organizations. On the other hand, several factors are influencing the process of organizational entrepreneurship development which are necessary to be studied More
        Organizational entrepreneurship as one of the main forms of entrepreneurship plays a key role in the success of organizations. On the other hand, several factors are influencing the process of organizational entrepreneurship development which are necessary to be studied and identified. The purpose of the present research is Identify and ranking affecting factors on organizational entrepreneurship process in mazandaran fishery and marine organization. In terms of data collection, the used method in this study is the descriptive-survey method and in terms of research purposes, it is an applied research. Statistical population of present study is includes of experts and connoisseurs in mazandaran fishery and marine organization. In the present study, after study literature, were Identification the factors on organizational entrepreneurship process and in three dimensions (behavioral factors, structural factors, and environmental factors) was organized. In collected data was using Delphi and paired comparisons questionnaires, and in order to data analyzing, using fuzzy Delphi method and FAHP were used. The results of the analysis indicate that the affecting factors on organizational entrepreneurship process in priority order is include: Behavioral factors, structural factors and environmental factors. Can see that entrepreneurship is importance and benefits that are very important concept in recent years a large number of organizations, companies and businesses in the following sectors of industry, agriculture and the fisheries was quite sensible. Manuscript profile
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        3 - Providing a Model for Leveraging a Technological Competene (Studied Case: Snake-Like Robot)
        علی حیدری esmaeil jafarpanah
        Nowadays, one of the most important dynamic capabilities of technology-intensive firms is leveraging of technological achievements for the creation of new applications and products and as a result, the new markets. This research studied the snake-like robot technologica More
        Nowadays, one of the most important dynamic capabilities of technology-intensive firms is leveraging of technological achievements for the creation of new applications and products and as a result, the new markets. This research studied the snake-like robot technological competence and its main purpose is to determine the starting point for leveraging process/path of this competence. For this purpose, available target markets for leveraging this competence have been identified and then have been ranked with performing multi-attributes decision making through ANP-DEAMATEL and TOPSIS hybrid model in fuzzy environment. Research experts have been selected from industrial knowledge intensive firms and scientific associations related to this competence. Multi-attribute decision making model results, based on data from experts, show that oil industry has the most attractiveness for starting of snake-like robot leveraging. The model presented in this research, with some modifications and adjustments can also be used for other high-technology products. Manuscript profile
      • Open Access Article

        4 - Document Clustering Based On Ontology and Fuzzy Approach
        Maryam Amiri hasan khatan Lo
        Data mining, also known as knowledge discovery in database, is the process to discover unknown knowledge from a large amount of data. Text mining is to apply data mining techniques to extract knowledge from unstructured text. Text clustering is one of important techniqu More
        Data mining, also known as knowledge discovery in database, is the process to discover unknown knowledge from a large amount of data. Text mining is to apply data mining techniques to extract knowledge from unstructured text. Text clustering is one of important techniques of text mining, which is the unsupervised classification of similar documents into different groups. The most important steps in document clustering are how documents are represented and the measurement of similarities between them. By giving a new ontological representation and a similarity measure, this research focuses on improving the performance of text clustering. The text clustering algorithm has been investigated in three aspects: ontological representation of documents, documents similarity measure, fuzzy inference system to measuring the final similarities. Ultimately, the clustering is carried out by bottom-up hierarchical clustering. In the first step, documents are represented as ontological graph according to domain knowledge. In contrast to keywords method, this method is based on domain concepts and represents a document as subgraph of domain ontology. The extracted concepts of document are the graph nodes. Weight is measured for each node in terms of concept frequency. The relation between documents’ concepts specifies the graph edges and the scope of the concepts’ relation determines the edge’s weight. In the second step, a new similarity measure has been presented proportional to the ontological representation. For each document, main and detailed concepts and main edges are determined. The similarity of each couple of documents is computed in three amounts and according to these three factors. In the third step, the fuzzy inference system with three inputs and one output has been designed. Inputs are the similarities of main concepts, detailed concepts and the main edges of two documents and the output is final similarities of the two documents. In final step, a bottom-up hierarchical clustering algorithm is used to clustering the documents according to final similarity matrix. In order to evaluate, the offered method has been compared with the results of Naïve Bayes method and ontology based algorithms. The results indicate that the proposed method improves the precision, recall, F-measure and accuracy and produces more meaningful results. Manuscript profile
      • Open Access Article

        5 - Design and implementation of a fuzzy expert system for suspicious behavior detection in e-banking system
        leila saroukhani gholamali montazer
        Abstract One of the most important obstacles to use Internet Banking is lack of security and some abuses in such systems. Therefore, fraud and suspicious behavior detection, to prevent unauthorized accesses, are of great importance in financial organizations and banks. More
        Abstract One of the most important obstacles to use Internet Banking is lack of security and some abuses in such systems. Therefore, fraud and suspicious behavior detection, to prevent unauthorized accesses, are of great importance in financial organizations and banks. In this paper, an expert system is designed to detect users’ unusual or suspicious behaviors in the internet banking system. As different users’ behaviors may be ambiguous and uncertain the system has been designed based on fuzzy notions in such a way that it can recognize the users’ behaviors and classify the suspicious ones according to their intensity. The proposed system has been implemented and tested on the Internet-Banking system for Bank Mellat, which has the largest on-line banking services in Iran and the results showed that the system detects successfully the unusual behavior. Manuscript profile
      • Open Access Article

        6 - Personalized E-learning Environment Using Fuzzy Recommender System base on Combination of Learning Style and Cognitive Trait
        nafise saberi  
        Personalization needs to identify the learners’ preferences and their characteristics as an important part in any e-learning environment which without identify learners’ mental characteristics and their learning approaches, personalization cannot be possible. Whatever t More
        Personalization needs to identify the learners’ preferences and their characteristics as an important part in any e-learning environment which without identify learners’ mental characteristics and their learning approaches, personalization cannot be possible. Whatever this identifying process has been done more completely and more accurately, the learner model that based on it will be more reliable. Using the combination and relation of effective theories in learning approaches detection such as learning style and cognitive trait, have been used in this research. Also for reducing ambiguity in learners’ opinions and their feedbacks, have been used fuzzy logic. This study was conducted during one semester on some e-learning students in engineering field based on fuzzy recommender system in two phases. This recommender is part of Intelligent Tutoring System as prepared some recommendations based on learning style in first phase and on half of courses and in second phase and on remaining courses, prepared recommendations based on combination of two mentioneed theories. Learners’ ability have been monitored and evaluated based on fuzzy item response theory in all steps. Measures of Intelligent Tutoring System have been optimized after this combination that clarifies the presentation of accurate recommendations in appropriate time. The time of effective learning and amount of referee to tutor have decreased, learner’s and tutor’s view to e-learning that define such as learners’ success rate and the learner’s satisfaction have improved increasingly. Manuscript profile
      • Open Access Article

        7 - Designing a Fuzzy Expert System for Selecting an Appropriate Contractor in Information Technology Outsourcing
        shaban elahi nadia kalantari alireza hassanzade sara shamsollahi
        Increment of complexity and costs of information technology systems have made many problems about infrastructure and manpower for organizations which have been decreased by the use of outsourcing. All organizations try to increase the success of outsourcing projects by More
        Increment of complexity and costs of information technology systems have made many problems about infrastructure and manpower for organizations which have been decreased by the use of outsourcing. All organizations try to increase the success of outsourcing projects by using different ways. One of the important reasons for failure of these projects especially in IT area- because of its major role in acquisition of competitive advantage- is selecting inappropriate contractor. In order to existence of different and contradictive criteria, this selection is complex. The purpose of this research is to determine important criteria and specify the weights of each criterion and finally design a fuzzy expert system for selecting the best contractor in IT outsourcing. The method of knowledge acquisition from experts-which are managers and experts of IT- is a questionnaire. Also in order to evaluate the validity of system, it was used in an IT company. The results show the favorable performance of contractor selection expert system. Manuscript profile
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        8 - The study of the accuracy of real estate experts' evaluations using a data mining model (Case study of Mellat Bank)
        fatemeh davar
        As the main part of the financial system, banks always face different risks, the most important of which is the credit scoring risk and property valuation. One of the issues faced by property valuation experts is how to evaluate property prices. In general, court expert More
        As the main part of the financial system, banks always face different risks, the most important of which is the credit scoring risk and property valuation. One of the issues faced by property valuation experts is how to evaluate property prices. In general, court experts assess real estate based on price indices. In this research, the researcher aimed to verify the accuracy of valuation experts by using data mining models. This action has been taken to help bank managers and audit reporters to make better decisions about experts and their valuations. Using property valuation indexes and data mining, a predictive model has been developed to predict property prices, and a combination of FCM and K-NN algorithms has been used to achieve a high performance prediction model. This measure was able to greatly increase the predictive accuracy and increase the efficiency of the proposed model. The accuracy level in predicting valuated prices was 84.21% and the RMSE rate in its forecast was 0.43. The proposed approach was tested on real estate valuation data of the Mellat Bank. Manuscript profile
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        9 - Identifying Technological Business Criteria Based On Cloud Computing Using Fuzzy Delphi Method
        Ahmad fendereski
        This study aimed to identify technological business criteria based on cloud computing that technology can greatly help to technological business in Iran small and medium-sized trade, and it can also have a significant impact on improving the delivery of services, decrea More
        This study aimed to identify technological business criteria based on cloud computing that technology can greatly help to technological business in Iran small and medium-sized trade, and it can also have a significant impact on improving the delivery of services, decreasing current problems and decreasing costs. The current research has been done during one year and it is developmental research and it is analytical- exploratory based on nature. The current study has been done based on mixed research (quality-quantity) and gathering data conducted via literature review and viewpoint of experts and the method of gathering data was questionnaire and interview and fuzzy Delphi. Criteria and sub criteria were identified by interview and literature review and the comments of experts were given by Delphi questionnaire. In this method, fuzzy theory has been used for modeling variables in experts’ comments and group decision making. This research has been done during one year and the most important results were selected for reviewing criteria including space accessibility, information retrievability, appropriateness, technical factors and economic factors which had maximum limits in technological business. Manuscript profile
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        10 - Measuring motivation and job satisfaction in industry and the role of government and university in their improvement
        naser shams farnaz kazempour
        Improving staff motivation in any working area has direct effect on productivity improvement. To achieve this important goal, identification and measurement of factors in promoting motivation is highly important and can help managers in achieving the organization goals. More
        Improving staff motivation in any working area has direct effect on productivity improvement. To achieve this important goal, identification and measurement of factors in promoting motivation is highly important and can help managers in achieving the organization goals. Considering the importance of motivation and job satisfaction, this paper intends to design and develop the indicators to measure motivation and job satisfaction in a specific industry based on the Herzberg theory. By applying fuzzy method and calculating and analysing the indices, guidelines for staff improvement in the industry by Government and university will be provided. The results show that the application of designed indicators will enhance motivation and increase job satisfaction in the studied industry Manuscript profile
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        11 - Assessment and Environmental Impact Analysis of the Urban Streets using Multi-Criteria Decision Making Model (Case Study: 58-meter street of Arak)
        maryam hosseinkhani amir ansari amir Hedayati Agmashhadi
        10.29252/.4.6.61
        The purpose of this research is assessing and planning the urban streets of Arak city. In this research, environmental impacts were assessed by using these three methods: Multi-criteria like rapid matrix, ANP and fuzzy TOPSIS that both of them are decision-making method More
        The purpose of this research is assessing and planning the urban streets of Arak city. In this research, environmental impacts were assessed by using these three methods: Multi-criteria like rapid matrix, ANP and fuzzy TOPSIS that both of them are decision-making methods. The process that has been followed in this study includes, determining the indicators, (using library studies), specifying geographic area, introducing the options, studying the environmental basic conditions, indicating and predicting and impacts, assessing the impacts using the three mentioned methods and providing the report. In the following, the status of the environmental factors was investigated. Then, the most important factors that might be affected by 58-meter street construction were identified using checklist, and were selected as the criteria for impact assessment. Then environmental impact assessment was separately fulfilled by using three methods like rapid assessment (matrix), fuzzy TOPSIS and ANP. Due to the the more negative impacts relatively to the positive impacts in the rapid matrix method, the project was rejected. In both fuzzy TOPSIS and ANP methods the non-execution option has the most weight and preference. But among these methods, the ANP method is introduced as a suitable method for environment impacts assessment in different projects because of its ability to create a network with interaction between criteria and options at different levels and directions. Manuscript profile
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        12 - Comparing A Hybridization of Fuzzy Inference System and Particle Swarm Optimization Algorithm with Deep Learning to Predict Stock Prices
        Majid Abdolrazzagh-Nezhad mahdi kherad
        Predicting stock prices by data analysts have created a great business opportunity for a wide range of investors in the stock markets. But the fact is difficulte, because there are many affective economic factors in the stock markets that they are too dynamic and compl More
        Predicting stock prices by data analysts have created a great business opportunity for a wide range of investors in the stock markets. But the fact is difficulte, because there are many affective economic factors in the stock markets that they are too dynamic and complex. In this paper, two models are designed and implemented to identify the complex relationship between 10 economic factors on the stock prices of companies operating in the Tehran stock market. First, a Mamdani Fuzzy Inference System (MFIS) is designed that the fuzzy rules set of its inference engine is found by the Particle Swarm Optimization Algorithm (PSO). Then a Deep Learning model consisting of 26 neurons is designed wiht 5 hidden layers. The designed models are implemented to predict the stock prices of nine companies operating on the Tehran Stock Exchange. The experimental results show that the designed deep learning model can obtain better results than the hybridization of MFIS-PSO, the neural network and SVM, although the interperative ability of the obtained patterns, more consistent behavior with much less variance, as well as higher convergence speed than other models can be mentioned as significant competitive advantages of the MFIS-PSO model Manuscript profile
      • Open Access Article

        13 - context-aware travel recommender system exploiting from Geo-tagged photos
        rezvan mohamadrezaei larki Reza Ravanmehr milad  amrolahi
        Recommender systems are the systems that help users find and select their target items. Most of the available events for recommender systems are focused on recommending the most relevant items to the users and do not include any context information such as time, locatio More
        Recommender systems are the systems that help users find and select their target items. Most of the available events for recommender systems are focused on recommending the most relevant items to the users and do not include any context information such as time, location . This paper is presented by the use of geographically tagged photo information which is highly accurate. The distinction point between this thesis and other similar articles is that this paper includes more context (weather conditions, users’ mental status, traffic level, etc.) than similar articles which include only time and location as context. This has brought the users close to each other in a cluster and has led to an increase in the accuracy. The proposed method merges the Colonial Competitive Algorithm and fuzzy clustering for a better and stronger processing against using merely the classic clustering and this has increased the accuracy of the recommendations. Flickr dataset is used to evaluate the presented method. Results of the evaluation indicate that the proposed method can provide location recommendations proportionate to the users’ preferences and their current visiting location. Manuscript profile
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        14 - Identifying the factors affecting the formation of free innovation process in Iran Using fuzzy Delphi approach and Dematel technique
        ali asghar sadabadi mohammad sadegh khayyatian fatemeh mohammadi
        Free innovation is an important and evolving process in the domestic sector of national economies, leading to human prosperity and social welfare. The main purpose of this study is to identify the factors affecting the process of forming free innovation in Iran with fuz More
        Free innovation is an important and evolving process in the domestic sector of national economies, leading to human prosperity and social welfare. The main purpose of this study is to identify the factors affecting the process of forming free innovation in Iran with fuzzy Delphi analysis and Dematel technique. The statistical population of the study is all experts in the field of free innovation that 12 experts from Shahid Beheshti, Allameh Tabatabai, Tehran, Imam Sadegh (AS) universities were selected and finally 12 Delphi questionnaires were completed and analyzed by the researcher. it placed. According to the results of fuzzy Delphi technique in the panel of experts, 8 components affecting the formation of free innovation process were identified and classified into three main groups. Then, in order to investigate the effect and effectiveness of the subcomponents, these factors were measured by the dimethyl technique. The results show that among the three factors affecting the formation of the free innovation process, the environmental factor has the most impact and individual and contextual factors are in the next ranks. Also, among the 8 sub-components, the factor of culture of understanding and supporting innovation has the most impact among other factors Manuscript profile
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        15 - Survey management solutions of urban effete fabrics and exhibition optimal pattern in intervention (Case study: Quarter of Sartapole in Sanandaj city)
        Hamed ghadermarzi Atefeh Ahmadi Dehrashid
        Attention to urban old and effete fabrics as fabrics that have problem, not just in Iran but in the world has a long history. Organizing and improving this fabrics that more located in center and core of historical city, the best way to describe history and national ide More
        Attention to urban old and effete fabrics as fabrics that have problem, not just in Iran but in the world has a long history. Organizing and improving this fabrics that more located in center and core of historical city, the best way to describe history and national identity and is one of bases for realization ideals innate development. The GIS based on functions, applied algorithms and their ability can as efficient tool helped management of effete fabrics in order to overcome said concerns. Present research has be done based analytical-descriptive method and with emphasis on practical aspects and with use of data collected at database of geographic information systems relevant to Sanandaj municipal. Case study is Sartapole quarter in Sanandaj city, this region selected because including effete indicator factors. In order to obtain to each of optimal patterns of management effete fabrics in case study including improvements, renovations, reformation,… based key indicators in identify exhaustion type of urban effete fabrics created multiple data layers such as: prices maps of blocks, maps of old buildings, Access Map, map of the number of classes, slope map of streets, landuse map, area map of blocks in case study, covering maps of roads, map of type materials and ... Finally, with spatial analysis and using practical algorithm in GIS and and usage of Fuzzy Logic were identified priority areas for the development of effete fabric based proposed solutions improvements, renovations, reformation. Manuscript profile
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        16 - Locating the prefacfured depot for crisis management in municipal Region one in Tehran
          Mohammad Gandomi
        In recent years, the construction of backup bases for crisis management has been placed on the agenda of the Organization of Precautionary Measures and crisis management. One of the important things lies in setting up bases, studying, and finding a proper geographical l More
        In recent years, the construction of backup bases for crisis management has been placed on the agenda of the Organization of Precautionary Measures and crisis management. One of the important things lies in setting up bases, studying, and finding a proper geographical location for setting up this his kind of application, a place which can be used as a safe place under critical conditions and under normal conditions. It may be used for normal uses too. The present study is of a practical nature which has been conducted by a descriptive-analytical method. This research seeks to find the best method location for the backup bases for crisis management municipal region one in Tehran. In order to achieve this goal, effective criteria and factors for locating aid centers are identified in time of crisis. Then in order to specify the importance and value of each each criterion and effective elements in section making, the AHP model has been used.Then a questionnaire was prepared and distributed among experts. In the second stage, by the use of hirarchicl procedural method and by using expert choice software, the weight of each criterion and element was determined. In the second phase, all layers of information in GIS were turned into a roster and by using the method of index overlay, the layers were mixed and ten best locations were chosen as the best bases for crisis management for region one. Also, results show the depots for crisis management have not been properly chosen and that they are very limited in numbers. Manuscript profile
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        17 - Capacity of urban management in the empowerment process of informal settlements: A case study of five Iranian cities
          Mohammad   
        Empowerment of informal settlements has been always faced with two challenges. Firtly, Lack of necessary capacity to implement and unfamiliarity of urban management with the nature of empowerment plan to increase these capacities. Secondly, distrust of the residents of More
        Empowerment of informal settlements has been always faced with two challenges. Firtly, Lack of necessary capacity to implement and unfamiliarity of urban management with the nature of empowerment plan to increase these capacities. Secondly, distrust of the residents of these textures to urban management and consequently the challenge of attracting their participation. This study aims by focusing on the first challenge as a research problem, with analytical- descriptive approach to evaluate and compare the existing capacity of urban management in order to empower informal settlements in five cities, so that the shortcomings of the urban managment regarding this issue to be determined. In this regard, according to documents and library resources, indicators of urban management capacity has been developed in many aspects. Furthermore, in order to quantify and collect data needed for each indicator, according to experts, using in-depth interviews and avialable information in the empowerment plan of informal settlements of theses cities has been considered. To analyze the data and evaluate the final number of available capacity of urban management of each of the surveyed cities in order to empower informal settlements of each city, the FUZZY-ANP model, and for weighting of indicators in this model, professionals, city administrators and researchers were surveyed. Ranking results of the management of the cities in order to empower informal settlements from highest to lowest capacity were 1- Shiraz, 2- Marvdasht, 3-Yasouj, 4-Zabol, and 5-Iranshahr respectively. Moreover, the indiocators of 1- using participatory planning method, 2- meetings and workshops related to issues of informal settlements, and 3- the stability of income respectively had the highest significance in this ranking. Manuscript profile
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        18 - Urban Shelter Site selection with Passive Defense Approach
             
        Nowadays “Passive Defense” is very important in urban management and Militarism, because we can reduce damages from enemies attack by complying with its rules. Making urban shelters is one of important actions to reduce human casualties. Making urban shelters have its r More
        Nowadays “Passive Defense” is very important in urban management and Militarism, because we can reduce damages from enemies attack by complying with its rules. Making urban shelters is one of important actions to reduce human casualties. Making urban shelters have its rules. Finding the best place in city is one of these rules which should be complied. The shelter must be created in place that people can reach very fast in the crisis. In this paper urban shelter site-selecting implemented using multi criteria decision making algorithms with passive defense approaches. In the first step, Analytical Hierarchy Process (AHP) method is used in order to determine the weight of each criterion. Then, we use fuzzy logic functions to produce fuzzificated factor maps. Finally, we utilize TOPSIS algorithm to evaluate all the points of city and create assessment map. Zahedan (in the southeast in Iran) is chosen as case study. In this paper 39 layers (map) gathered and categorized into 15 factor. Most weight is dedicated to “Distance from important points” (23 %) and lowest weight is dedicated to “slope” (1 %). The results shows most areas in the east and the north and center of the city are not suitable places to build urban shelters since several inappropriate factors like “Distance to fault” , “Distance to Old buildings” , “Distance to dangerous area” , “Distance to rivers” , “Distance to under waters” and “Distance to high voltages power lines” are focused in these areas and intensify the effect of each other’s. And the west area in the city (and some small limited areas in northeast and southeast) is suitable for urban shelter. Manuscript profile
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        19 - Measure of Rural Developmen with emphasis on FUZZY Logic Case Study: Rural district of the Boushehr Province
          Alireza Estelaji
        This study was conducted to assess rural development in the rural districts of the province, applied research is a method of utilizing Association with Fuzzy Multi Attribute Decision Making. Research Methodology descriptive and analytical and the data gathering method d More
        This study was conducted to assess rural development in the rural districts of the province, applied research is a method of utilizing Association with Fuzzy Multi Attribute Decision Making. Research Methodology descriptive and analytical and the data gathering method documents and collect the purposes of the research data and information on population and housing census statistics tables and forms common(especially Statistical Yearbook 2011 Bushehr province). The study population was the whole Rural district of Bushehr Province, To assess the level of their development, with 84 components in the form of development indicators from official statistics Bushehr Province and examined using the technique of Fuzzy VIKOR. The findings of research analysis outlining a space for unequal region and unfair allocation of resources and rural services in rural areas of Bushehr Province, Showed that a total of indicators, Rural districts suburbs (county of Bushehr), Assaluyeh, Zyrrah, Poshtkuh, Has the highest rate development and rural districts Anarstan, Bordekhoon, Lyravy middle and Abdan have had the lowest rates of rural development. In the end to eliminate regional imbalances in Bushehr Province and social justice in rural areas of Counties of Bushehr Province, Was presented applied suggestions and determined development priorities to segregation rural district. Manuscript profile
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        20 - Spatial-physical structure management of in-city structures, by AHP method and fuzzy logic (Case study: region17 of Tehran)
        Nemat Hosseinzadeh Faraz  Estelaji Elham Amini
        Due to the central role of the city, Tehran has been associated with increasing population and density, and consequently in providing services and facilities in various fields, due to lack of and, in some cases, due to the lack of appropriate geographical distribution o More
        Due to the central role of the city, Tehran has been associated with increasing population and density, and consequently in providing services and facilities in various fields, due to lack of and, in some cases, due to the lack of appropriate geographical distribution of applications, there are shortcomings Is. The fuel filling stations network is one of the components of the municipal services network that acts as a fuel supplier to the intercity transportation sector, which is important in terms of traffic considerations, urbanization, safety and the environment. One of the most important factors surrounding fuel supply stations (petrol stations) is their proper location. Multi-criteria decision-making models (MCDMs) are now becoming an expanding tool for addressing complex spatial decision-making problems. There are several methods in making multi-criteria decisions. Studies and evidence show that multi-criteria decision-making methods, especially the combined methods between them, provide accurate results for spatial decision-making. Due to the high population density and the density of internal and external passage overnight and the passage to the adjacent areas, Tehran's region 17 shows the need for fuel efficiency and optimal location. Therefore, the purpose of this study was to determine the appropriate location of pump-gas stations in the 17th district of Tehran and to investigate the position of the existing sites in this area, using the GIS and utilizing the fuzzy AHP combined method. Not. The research method has descriptive-analytical and applied nature in this evaluation. In order to achieve these goals, suitable criteria, consistent with the studied area and different methods have been used. Finally, by using paired comparisons and experts' opinion and calculations by the fuzzy AHP method, the final weight of the criteria has been determined. The results of the integration of information layers in ARCGIS software, while identifying suitable locations for building new stations, have analyzed the location of gas station positions, which shows that each of the 2 existing locations in the 17th district of Tehran in an appropriate and optimal position they are not. Manuscript profile
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        21 - Ranking of the key success factors of outsourcing activities of universities maintenance and repair services using the Fuzzy approach (Case: Semnan University)
        Nasrin  Rahae Mohsen  Shafiei Nikabadi Azim  Zarei
        Outsourcing, if done right, has numerous benefits for the organization, and if the principles of outsourcing are not properly observed and hasty decisions are made, irreparable damages will follow.This research identification and prioritization of the key factors for th More
        Outsourcing, if done right, has numerous benefits for the organization, and if the principles of outsourcing are not properly observed and hasty decisions are made, irreparable damages will follow.This research identification and prioritization of the key factors for the success of outsourcing maintenance and repair services using the Fuzzy approach in Semnan University, during the period of October to December 2019. Therefore, this study identified 6 main factors and 39 sub-factors for key success factors of outsourcing activities of semnan university net services by studying different research literature. The statistical population of the study includes all managers in the field of technical and civil engineering and financial and administrative vice chancellor of Semnan University and the samples have been selected as a purposeful and accessible judgment. Hypothesis test, fuzzy AHP and fuzzy ARAS were used to analyse the data and the results showed that the most important key success factors are: participation and support from senior managers, existence of effective clear and transparent communication program, existence of a special and trained team to perform outsourcing, ability to manage change, existence of specialized workforce, process reengineering, stability of political climate, availability to share knowledge, competencies and innovations.-based economy and also its strategic position in the innovation ecosystem, has been studied Manuscript profile
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        22 - An Introduction to the functionalist poetics
        علیرضا  خان‌جان Zahra میرزا
        Emphasizing the necessity for changing the logical approach to the definition of the nature of poetry from Aristotle's logical dichotomy to the Fuzzy relativist logic, the present paper will first deal with three different viewpoints in the field of poetics. Attempts wi More
        Emphasizing the necessity for changing the logical approach to the definition of the nature of poetry from Aristotle's logical dichotomy to the Fuzzy relativist logic, the present paper will first deal with three different viewpoints in the field of poetics. Attempts will also be made to employ the approach which does not take into consideration literature and poetry in particular, as being different from other types of communicative acts. It will thus be possible to analyze poetry within the framework of a general theory. Based on Haliday's functional systemic theory (1985, 1994) and taking into consideration the pattern proposed by Mohajer and Nabavi (1376), The present paper attempts to provide a functionalist analysis of the discourse of the poetry, as well as linguistic and paralinguistic parameters, based on Manuscript profile
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        23 - Using the Fuzzy cognitive maps in the field of regional studies
          Ahmad دوست محمدي  
        Few decades have passed since the birth of regional studies as sub-field of political science and international relations, but the dominance of international relations approaches on scientific literature and research method of this scientific field in inevitable. The ev More
        Few decades have passed since the birth of regional studies as sub-field of political science and international relations, but the dominance of international relations approaches on scientific literature and research method of this scientific field in inevitable. The evolution procedure of regional studies field showed that doing research in this field may require research in history, political science, sociology, economics, geopolitics and many of other scientific tendencies that can be referred based on the case. This subject shows the difficulty of research in regional studies field. This paper is determined to introduce the Fuzzy cognitive maps as a method with capability of application in regional studies field, so this method can meet the researcher’s needs in the field of study of subjects without any background before, or entitled as a vague phenomenon. The advantage of this method firstly is the ability of recognizing the elements of vague phenomenon and helping to understanding the relations among them and secondly the derivation of the agreed point from various views about that phenomenon Manuscript profile
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        24 - Estimating the LNAPL level elevation in oil-contaminated aquifer by using of gene expression programming (GEP) and adaptive neuro-fuzzy inference system (ANFIS)
        فاطمه  ابراهیمی Mohammad Nakhaei HamidReza Nasseri  
        One of the main concerns in the aquifers adjacent to oil facilities is the leakage of LNAPLs. Since remediation processes costly and time consuming, so the first step in these systems is determining design goals. Often the most important goal of these systems is to maxi More
        One of the main concerns in the aquifers adjacent to oil facilities is the leakage of LNAPLs. Since remediation processes costly and time consuming, so the first step in these systems is determining design goals. Often the most important goal of these systems is to maximize pollutant removal and minimize the cost. Identifying the thickness of LNAPL and its fluctuations can determine the type of recovery method and thus can be effective on the amount of removal and the cost of the implementation. In this study, three methods of gene expression programming (GEP), adaptive neuro-fuzzy inference system (ANFIS) and multivariate linear regression (MLR) were used to estimate and predict the LNAPL level. Input variables are groundwater level elevation and discharge rate of LNAPL and the output variable is the LNAPL level elevation. The results of the three models were analyzed by statistical parameters and it was determined that GEP technique has better results and could be used successfully in predicting LNAPL level fluctuations in recovery processes. Also, the GEP model provides an equation for predicting the LNAPL level that can be used in the field to predict the elevation of the LNAPL level. Manuscript profile
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        25 - Identifying and Assessing Relationships between Variables Affecting Innovation in Petrochemical Companies Using DEMATEL Fuzzy Technique
        Rahim Ghasemiye Mehdi Hashemi
        10.7508/jstpi.2015.02.003
        The increasingly rate of change and as a result shortening product life cycle, has emphasis on innovation among industrial companies. The purpose of this research is to briefly discuss the role that innovation plays in global competition and to investigate the relations More
        The increasingly rate of change and as a result shortening product life cycle, has emphasis on innovation among industrial companies. The purpose of this research is to briefly discuss the role that innovation plays in global competition and to investigate the relationship among influential variables on innovation in petrochemical companies. Drawing from literature review we developed a research model. It consists of 26 factors and then with utilizing DEMATEL Fuzzy technique, they were reduced to seven variables, namely, culture of change, management performance, focusing on clients’ demand, financial conditions, product flexibility, using new technology and government support. Then the effects of above factors on organizational innovation have been assessed. Results emphasizes on vital role of culture of change among employees that must be at center of interest on managers. Also results indicate that clients’ interest is an independent variable that neither effects nor effected by other variables. Among other findings, results indicate that culture of change, management performance and using modern technologies are the most vital factors affecting innovation in petrochemical companies. Investment variable has been identified as an independent variable that has great effect on a number of effective variables in petrochemical companies. Manuscript profile
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        26 - Ranking of Effective Factors on Promoting Innovation Companies in Incubators, Using Fuzzy Topsis Technique; Case Study: Yazd Science and Technology Park
        Seyed Habibollah Mirghafori Hosein Sayadi Toranloo Maryam Kariminia
        In modern world, most countries tend to increase their efficiency and improve their economic status relying on innovation. One of the important centers for doing innovative activities are tenant companies in incubators located in Science and Technology Parks. Therefore More
        In modern world, most countries tend to increase their efficiency and improve their economic status relying on innovation. One of the important centers for doing innovative activities are tenant companies in incubators located in Science and Technology Parks. Therefore the aim of this research is to identify and rank effective factors improving innovation in companies in Yazd Science and Technology Park (YSTP). In order to identify effective indexes on improving innovation, update articles have been studied and experts' ideas in the field of technology were used from which thirty seven indexes were confirmed by experts. After designing questioners out of available indexes and content and face validity confirmation by experts, questioners were distributed among the managers and staffs of companies in YSTP. 200 questioners were corrected completely and achieved data were analyzed by Fuzzy Topsis Technique. Based on this, thirty seven indexes in questioners were ranked in terms of their importance regarding given responses by companies' managers and staffs. Earning knowledge and new information and accessibility of advanced technologies were identified as the most important effective factors in improving innovation in companies in YSTP incubators. Manuscript profile
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        27 - A Performance Assessment Model for Business Intelligence by using Fuzzy Analysis
        MohammadHosein Ronaghi Kamran Feyzi
        Business intelligence (BI) is the tool used by enterprises to collect, manage and analyze structural and non-structural data and also information by taking advantage of modern information technology. It utilizes a substantial amount of collected data during the daily op More
        Business intelligence (BI) is the tool used by enterprises to collect, manage and analyze structural and non-structural data and also information by taking advantage of modern information technology. It utilizes a substantial amount of collected data during the daily operational processes, and transforms the data into information and knowledge to avoid the supposition and ignorance of the enterprises. In the last decade, Business intelligence has evolved as one of the critical applications in organizations to provide useful insight, support decision-making, and drive organizational performance. However, to avoid the ineffective experiences during the deployment, it is important to clarify the impact factors of a BI system and find out a Suitable assessment method to evaluate the performance of BI systems. Evaluating the effectiveness of business intelligence systems is vital to our understanding of the value and efficacy of management actions and investments. This research is a descriptive survey. We construct an Assessment model to assess the performance of business intelligence systems based on the outcomes of previous researches. Furthermore, an expert questionnaire using fuzzy analytic hierarchy process (AHP) was used to filter out useful performance indicators. The analytic hierarchy process is a structured technique for organizing and analyzing complex decisions. Finally, we analyze a real case by using the constructed assessment model for Business Intelligence systems. We choose an automotive parts manufacturer as a case. The survey sample population consisted of 66 randomly taken employees and managers of the case. The results indicate that the performance of Business Intelligence system in our case was suitable. Manuscript profile
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        28 - SWOT table for science and technology parks to choose the best strategy using fuzzy ANP
        Mahdi Yosefi Nezhad Atarry Ensiyeh Neyshaboory
        Organizations have always taken of internal and external factors and are trying to influence their strategies based on these factors must be designed and implemented. Since science and technology parks and incubators as the interface between universities and industry ar More
        Organizations have always taken of internal and external factors and are trying to influence their strategies based on these factors must be designed and implemented. Since science and technology parks and incubators as the interface between universities and industry are often Major role in the development of science and economics play in their countries. Most parks and incubators as governmental science and technology under the government are therefore, these centers can be used as an interface between government, universities and industry to act. The status of science and technology parks and incubators in Iran is much the same way. One of the tools which help organizations to develop these strategies using a SWOT table. Using this table, the strengths and weaknesses in the areas of internal factors, threats and opportunities in different areas of external factors and strategies to be formulated. The best strategy for the design of these strategies should be selected. Achieving For best strategy, first strengths, weaknesses, threats and opportunities are determined. Then seven strategies for attaining goals in science and technology parks are chosen. This paper is the use of efficient tools for multi-criteria decision making, network analysis phase of the process to select the best strategy. Finally, the various strategies discussed and comparative tables, strategy development agreement between the Ministry of Science, Research and Technology, and Health industries and banks, supporting professionals was selected as the best strategy. Manuscript profile
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        29 - Identification and analysis of factors affecting readiness of universities for successful implementation of knowledge management
        Hossein Ali  Hasan pour Hosein Jahanshahi Masoud Ahmadi Ghavaghy Hamzeh Danesh Payeh
        Nowadays organizational knowledge is one of the most assets that efficient management it, will multilateral promote organizations. Knowledge management is a powerful leverage to achieve competitive advantages among organizations that experience has shown that its applic More
        Nowadays organizational knowledge is one of the most assets that efficient management it, will multilateral promote organizations. Knowledge management is a powerful leverage to achieve competitive advantages among organizations that experience has shown that its application in the universities environment, has many advantages. it is important before decision to implement Knowledge management project in organization, to identifing factors that are important in increase Knowledge management readiness. Therefore, the main objective of this study is identify and determine the priority of these factors on universities environment. This research is composed of two main phase, that in the first phase, with the previous Knowledge management readiness models, and the opinion of the experts in unversitis sector, 10 main aspects and from these aspect, 37 factor selected. The factors have different important, hence in the second phase, the research experts, express their judgments about the important weight of each factors, by fuzzy decision matrix. Fuzzy set theory is used to interpert the linguistic information in accordance with the subjective evaluation. Results of defuzzication indicates that “ top management support”, and “knowledge sharing”, are the important effective factor, also “ deformalization” and “ decentralization” has the lowest priority. Factors identified in this study and prioritization by them, As for the universities to prioritize And Regulation the knowledge management activities, to be used. Manuscript profile
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        30 - Capability Evaluation of STPs via Hybrid Heuristic Techniques
        Masuod Rashidi nejad Zohreh Sharif zadeh kermani
        This paper proposes a generic technique for the evaluation and comparison of the capability of STPs as decision- making aid. The major issue in this area is conducted by comparing and evaluating success factors and the risks associated with each STPs . In this regards d More
        This paper proposes a generic technique for the evaluation and comparison of the capability of STPs as decision- making aid. The major issue in this area is conducted by comparing and evaluating success factors and the risks associated with each STPs . In this regards decision- making modeling concepts are based on the identification of capability factors and finding mathematical modeling techniques. Manuscript profile
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        31 - Determining the Priorities in Science Parks by Using Fuzzy DEMATEL Case Study of Sheikh-Bahai Science and Technology Park
        mohammad ebrahim sadeghi asghat saud abadi saeed mirza mohammadi Mohammad mahdavi
        10.7508/jstpi.2015.01.006
        Science parks are known tools for incubation of knowledge-based firms. Recently, policy makers of science and technology of our country has paid attention to these institutions. The topic of this research was investigating the impact of these institutions on the develop More
        Science parks are known tools for incubation of knowledge-based firms. Recently, policy makers of science and technology of our country has paid attention to these institutions. The topic of this research was investigating the impact of these institutions on the development of knowledge-based companies and identifying the key factors resulting in earning competitive advantages by located firms. After reviewing many researches in this field of study, key effective factors were identified and by using the experts, these factors were revised according to the circumstance of our country and placed in a proper framework. The framework consists of four aspects including: “human resource”, “R&D and technology transfer”, “facilities” and “market development” and twelve factors. The framework applied in Sheikh Bahai Science and Technology Park and the results obtained showed that in this park, facilities aspect needs special attention. This aspect had the highest significance in quadruple aspects and was the only aspect affecting Sheikh Bahai Science and Technology Park. Other aspects such as, “human resource”, “R&D and technology transfer”, and “market development” were effects of the aspects. The results of this research show that the development of knowledge based firms located in this park depends on facilities such as financial resources and primary physical infrastructure than human resource, research activities and marketing services. We suggest using this framework to find the aspects and factors influential the creation of competitive advantages and determining the action and planning priorities for other science and technology parks in Iran. Manuscript profile
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        32 - Selecting Enterprise Resource Planning System Using of Fuzzy Analytic Hierarchy Process Approach
        Hojatollah Hamidi
        10.7508/jstpi.2015.03.002
        Selecting an enterprise resource planning (ERP) system is time consuming due to the resource constraints, the software complexity, and the different of alternatives. A comprehensively systematic selection policy for ERP system is very important to the success of ERP pro More
        Selecting an enterprise resource planning (ERP) system is time consuming due to the resource constraints, the software complexity, and the different of alternatives. A comprehensively systematic selection policy for ERP system is very important to the success of ERP project. In this paper, we propose a fuzzy analytic hierarchy process (FAHP) method to evaluate the alternatives of ERP system. The selection criteria of ERP system are numerous and fuzzy, so how to select an adequate ERP system is crucial in the early phase of an ERP project. The framework decomposes ERP system selection into four main factors. The goal of this paper is to select the best alternative that meets the requirements with respect to “product factors”, “system factors”, “management factors” and “vendor factors”. The sub-attributes (sub-factors) related to ERP selection have been classified into thirteen main categories. These criteria and factors are weighed and prioritized and finally a framework is provided for ERP selection with the fuzzy AHP method. Also, a real case study from PARDIS-LO Company is presented. Manuscript profile
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        33 - Identifying Risks of Oil Industry Projects Based on PMBOK’s Standard, and Ranking Them by Using FAHP & Fuzzy TOPSIS Case study: Tehran Jonoob Technical and Construction Company, in the Site of Persian Gulf Star Oil Company
        ebrahim jamali mahnaz barkhordai ahmadi
        10.7508/jstpi.2017.02.005
        According that the risks in the project could have a significant effect on the short-term performance and long-term negative impact on financial performance, therefore, risk management is necessary to reduce failures due to various risks such as uncertain economic cycle More
        According that the risks in the project could have a significant effect on the short-term performance and long-term negative impact on financial performance, therefore, risk management is necessary to reduce failures due to various risks such as uncertain economic cycles, uncertain customer demand and unpredictable natural disasters and humanitarian. Previous studies have shown that having a comprehensive list of risks in oil and gas projects and also prioritizing and determine risks significance is important. In this study we identified TJ (Tehran Jonoob Co.) risks using PMBOK’s methods of risk identification and categorizing, Then specified the weight of the criteria’s (cost, time, quality, scope) using fuzzy hierarchical analysis (Fuzzy AHP) and Finally we discussed on prioritizing risks totally and in groups using TOPSIS method. Manuscript profile
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        34 - Identification and Evaluation of Effective Factors of Technology Transfer Using Fuzzy AHP Method (case study: Esfahan’s Mobarakeh Steel Company)
        Mohammad bagheri pebdeni sayyed mohammad reza davoodi
        10.7508/jstpi.2018.01.008
        In developed countries, technology transfer may be one of the solutions for the improvement or growth of economic or industrial sectors. However, the success of technology transfer significantly depends on the appropriate choice of technology from the appropriate resour More
        In developed countries, technology transfer may be one of the solutions for the improvement or growth of economic or industrial sectors. However, the success of technology transfer significantly depends on the appropriate choice of technology from the appropriate resources.The aim of this study is to identify and evaluate the effective factors of technology transfer using fuzzy AHP method. Technology transfer can be helpful for this organization in market share and increasing return through innovation of products and better execution of processes, methods of increasing productivity and effectiveness, and this is beneficial to small and normal company’s with limited resources and sizes. In this paper, after reviewing the literature and using expert’s opinion, 24 effective factors is identified which are in 5 categories which includes is: relatively advantageous in financial conditions, advantage marketing and related forces, technical characteristics, juridical and supervision considerations and issues of directorial and guideline. Furthermore, fuzzy AHP method is used to rank the dimensions and structures of these effective factors. Due to the results, the most important criterion in the field of technology transfer of Esfahan’s mobarakeh steel company (MSC) and international organizations of subclasses of the main indicator is juridical and supervision considerations,of foreign investment and based on this the technical use and financing from international organizations and cooperative organizations that have laws about cooperation for improving the environment have an important role in technology transfer. Manuscript profile
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        35 - A Fuzzy Decision Support System For Scoring Suggestions (Case Study: Fars Regional Electric Company)
        Mohammad salehi
        10.52547/jstpi.20695.15.59.37
        Fars Regional Electric Company is one of 16 regional energy companies in the country, which is responsible for managing power transmission in the provinces of Fars and Bushehr. The company uses a variety of management systems to promote its offering of services, which i More
        Fars Regional Electric Company is one of 16 regional energy companies in the country, which is responsible for managing power transmission in the provinces of Fars and Bushehr. The company uses a variety of management systems to promote its offering of services, which is one of these systems Suggestion System. In accordance with the executive procedure of the admission, examination and implementation system of the Suggestion System, each stage of acceptance and implementation of the Suggestion is also intended to reward the position of thought. The reward of each offer is proportional to the score that it receives after approval by its specialized committee. In order to standardize the scoring for each suggestion, indicators and criteria are also included in the company's method of implementation, which is categorized in three areas of technical, non-technical and financial criteria. Given the lack of tools for calculating indices, each index must first be described and then converted into a number as a score. In this paper, while introducing the Fars Regional Electric Company, the position of the Suggestion System and the current scoring method for any Suggestion in this company, using a fuzzy inference, Using the various criteria of each Suggestion, system suggest a total score for each suggestion is close to expert opinion. The results of using this system indicate that the decision quality in the allocation of score to each Suggestion is increased and the rules in the system fuzzy inference engine provide a better score. Manuscript profile
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        36 - Identifying and Analyzing the Relationships of Successful Factors of Success with the Fuzzy Dematel Method, Case Study: Tehran Municipality Cultural and Cultural Organization
        hadi heidari gharehbolagh meysam ghaffari
        10.52547/jstpi.20793.17.67.21
        The critical success factors for any business are a limited number of areas where satisfactory results in those domains will ensure successful competitive performance for organizations. In fact, the critical success factors for each organization's bottleneck are achievi More
        The critical success factors for any business are a limited number of areas where satisfactory results in those domains will ensure successful competitive performance for organizations. In fact, the critical success factors for each organization's bottleneck are achieving strategic interests. Key strengths and merits and weaknesses in these areas are known as bottlenecks. In this paper, a method is proposed based on the theme analysis, in which the critical factors of the cultural and artistic organization of the municipality of Tehran as well as the critical factors of the success of the regions are identified and elaborated. Then, during the design of the performance management system of the Tehran Municipality's Cultural and Artistic Organization, and as a result, the need to design key performance indicators and results, critical success factors as sources for extracting these indicators were considered by the researchers of this management system. In the results obtained, the factors influencing the implementation of innovative and effective programs, the delineation of the mission and cultural goals of the organization, the human resources system and reward system, the recognition of the cultural and artistic needs of the people of Tehran, the effectiveness of internal elements, increasing the influence of people in the city of Tehran And satisfaction of the audience as the critical success factors of the cultural-artistic organization of the municipality of Tehran were identified. Finally, for the analysis of the relationships between the critical factors, the fuzzy dematel method was used. Manuscript profile
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        37 - A Framework for Evaluating and Selecting a Strategic Supplier (Case Study: Yazd Alloy Steel Corporation)
        Mohammad Ali  Sangbor Fatemeh Javidi Karim  Golmohammadi Rasoul Abbasi
        10.52547/jstpi.20848.16.63.59
        Today, due to increasing competition and dynamism of economy and business activities, adopting a strategic approach to supply chain management and supplier selection is undeniable necessity. Suppliers are one of the most vital parts of supply chain and supplier selectio More
        Today, due to increasing competition and dynamism of economy and business activities, adopting a strategic approach to supply chain management and supplier selection is undeniable necessity. Suppliers are one of the most vital parts of supply chain and supplier selection issues are complex issues that may have many qualitative and quantitative concerns. The presented frameworks in the previous research are unable to response dynamism strategic and provide an appropriate framework, in this study, strategic cooperation approaches and supplier selection criteria have combined. For this purpose, components of cooperation strategies and supplier selection criteria have been counted and based on quality function deployment approach, the relationship between them has been specified. Finally, using fuzzy TODIM method, strategic weight of criteria has been obtained. in this study, because of expert oriented data, the non-sampling method is used for gathering data. The statistical population consist of supply chain experts and managers of Yazd Alloy Steel corporation. For analyzing data, a the oretical sampling was used and a non-statistical sample including ten experts was selected. As a result, a strategic supplier selection framework and strategic weight of every component, were determined. The results of data analysis show that among the 20 criteria, five criteria including "product quality", "strategic planning", "History of suppliers", "risk prediction" and "R & D Management" are in the first to fifth priorities in terms of importance respectively. Manuscript profile
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        38 - Identifying And Prioritizing The Factors Affecting The Success Of University Entrepreneurship With Hesitant Fuzzy TOPSIS Approach
        ali Morovati elham mofatehzadeh mehrdad kiani
        10.52547/jstpi.20963.18.69.1
        Todays, university plays an important role in the knowledge-based economy and the innovation cycle, while it can be considered as a driving force of human knowledge and pursues the growth and excellence of societies. In this field, the entrepreneurial university plays a More
        Todays, university plays an important role in the knowledge-based economy and the innovation cycle, while it can be considered as a driving force of human knowledge and pursues the growth and excellence of societies. In this field, the entrepreneurial university plays an important role both as a producer and as a knowledge disseminating institution. The purpose of this study is to identify and prioritize the factors affecting the success of university entrepreneurship. The orientations of this research are a combination of applied and developmental research. The philosophical basis of this research is positivism and in terms of approach, it is inductive. The research strategy is also survey type and in terms of method, it is considered as a quantitative research. The statistical population includes all professors and administrators of Yazd University that using purposive sampling method, 10 people were selected who participated in the prioritization stage of each factor using the hesitant fuzzy TOPSIS technique. The results showed that 33 factors in educational, research, organizational, economic, inter-organizational, cultural and human dimensions, among which the factors of financial and moral support of the government for entrepreneurial activities of universities, the amount of budget allocated by the university for research and development activities, support of senior university administrators for people with ideas, attracting financial support from independent institutions, large companies and external resources, and development of ideas, plans and business models, respectively are most important effective factors are the success of university entrepreneurship. Manuscript profile
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        39 - Designing an optimal model for the development of risky investments in the Tehran Stock Exchange using grand theory and fuzzy AHP
        Asgar Najafiahmadabad Sirus Fakhimiazar Seyyed Ali Paytakhti oskuyi Nasser Fegh-hi Farahmand
        The purpose of this study was to design an optimal model for the development of risky investment in the Tehran Stock Exchange using the fuzzy AHP grand theory method and the research method was a combination of qualitative and quantitative.In the first stage,using the g More
        The purpose of this study was to design an optimal model for the development of risky investment in the Tehran Stock Exchange using the fuzzy AHP grand theory method and the research method was a combination of qualitative and quantitative.In the first stage,using the grand qualitative theory approach,the paradigm model of the research including causal conditions,intervening conditions,background conditions, strategies, consequences and the central category of risky investment are extracted and the data collection tool is in the qualitative part of the interview 20 experts have been selected for the interview.In the quantitative stage, each of the extractive categories was reviewed and verified using confirmatory factor analysis, and the data collection tool in this section was a researcher-made questionnaire that was designed based on the concepts extracted from the qualitative section. After determining the validity and reliability, this questionnaire was distributed among the members of the statistical sample and the statistical population of the quantitative section included the managers of listed companiesThe sample size was determined based on the recommendations of the confirmation models of 210 people.The results of the qualitative section show 67concepts in the form of 15subcategories and six main categories in order to develop risky investment.The results of the quantitative part also showed that each of the main and subcategories extracted from research experts can be generalized to the managers of listed companies.Paired comparison tables were performed and theweight of the components was obtainedby the modified methodof Sami et al(2009) and the categories were prioritized based on them Manuscript profile
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        40 - Develop a new model for ranking e-businesses using structural equation modeling and fuzzy hierarchical analysi
        ﻋﻠﻴﺮﺿﺎ ﻋﻠﻲ اﺣﻤﺪي ﻣﻴﺜﻢ جعفری اسکندری ﻏﻼﻣﺤﺴﻴﻦ  ﺧﺎﻟﻘﻲ ﺣﺴﻴﻦ  رﺷﺘﺒﺮي
        One of the most important opportunities in the world for facilitate trade and increase world competition is use the modern information technology and communication.Therefore, the company's approach of traditional business is changed to modern electronics. The electronic More
        One of the most important opportunities in the world for facilitate trade and increase world competition is use the modern information technology and communication.Therefore, the company's approach of traditional business is changed to modern electronics. The electronic businesses are attractive because of special interests. Thus, in this situation other companies will be on framework with known keys about the active company's turnover . On the other hand, the companies are able to know superior companies in the logical situation and find the key success and also analysis their own company with superior company and find the solution to upgrade their own company by comparison and ranking of the active companies in the electronic business range. In this research we found the most important factors which are effectual on comparison and ranking that refers to expert person comments are recognized by profound reading and referring to some research sources and documents. Structural equation modeling are used because of Regarding to some measurement errors of observed variables and some difficulties between those variables. We used the fuzzy hierarchical analysis for the ranking and also doing sensitivity analysis Manuscript profile
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        41 - Supplier selection with the approach of combining Fuzzy Delphi Analytic Hierarchy Process (FDAHP) and Grey VIKOR methods
        Mohammad Mahdi Mozaffari
        The supplier selection is one of the most important issues in supply chain management discipline and it is regarded as an effective factor for companies to survive in the competitive environment. Selecting the best supplier among various suppliers, considering a mixture More
        The supplier selection is one of the most important issues in supply chain management discipline and it is regarded as an effective factor for companies to survive in the competitive environment. Selecting the best supplier among various suppliers, considering a mixture of criteria that are sometimes in conflict, makes it a complicated multi-criteria decision making problem. On the other hand, supplier selection is highly dependent on the assessments of decision makers and according to the environmental dynamics and incomplete information available to decision makers, they are faced with some uncertainty in their assessments. The purpose of this paper is to present a model of multi-criteria decision making under uncertainty by using concepts of fuzzy and grey theories in order to select the optimal supplier. In this research, first, the weights of supplier selection criteria are determined by using fuzzy Delphi and analytic hierarchy process, then suppliers are ranked by using Grey VIKOR which is a newly developed approach in the field of multi-criteria decision making under uncertainty Manuscript profile
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        42 - Assessment Model for Implementing a Lean Transformation in Enterprise Based on the Fuzzy Anp, Fuzzy Dematel and Fuzzy Vikor
        Kazem Nasiri Kashani محمود  مدیری gholamreza hashemzade khorasegani
        A lot of methodologies for evaluation of the lean transformation have been proposed in the literature, but just a few of them explicit relations among the components of the lean enterprise transformation, with focusing on the priority and identification of the relative More
        A lot of methodologies for evaluation of the lean transformation have been proposed in the literature, but just a few of them explicit relations among the components of the lean enterprise transformation, with focusing on the priority and identification of the relative weight of each element on the lean transformation have been considered. Therefore, we try to quantify those relations in this study. So, to structural investigate the relationships among the elements, a model is proposed that presents a novel comprehensive insight to the lean transformation process. This study proposed an analytic modeling approach in the lean enterprise transformation to identify the weights of the elements. The goal is to operationalize the highly qualitative relationships among the lean transformation components. In this paper 32 effective factors in lean enterprise transformation, identified as "sub sub criterion" were grouped into eight categories classified as "sub criterion". These eight sub criteria classified through 3 criteria in the higher level which are “organizational asset development”, “quick adaptation to markets and competitive superiority acquisition” and “supply and distribution network optimization These three criteria were proposed as the major criteria involved in "delivery value maximizing", and ultimately, the value maximizing recognized as the main target of the lean transformation in companies. Fuzzy DEMATEL technique and fuzzy analytic network process modeling are used to determine the relationships and the relative weights of each component and then with fuzzy VIKOR method, 25 identified solutions related to conceptual model were ranked for implementing the lean transformation which regard the organizational purposes and the weights of the end level parameters of the conceptual model in a proposal framework. The present evaluating lean enterprise transformation is a comprehensive model that can be applied to different production industries. This model also was investigated in automative parts industry. Manuscript profile
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        43 - Assessment Model for Implementing a Lean Transformation in Enterprise Based on the Fuzzy Anp, Fuzzy Dematel and Fuzzy Vikor
        Kazem Nasiri Kashani محمود  مدیری gholamreza hashemzade khorasegani
        A lot of methodologies for evaluation of the lean transformation have been proposed in the literature, but just a few of them explicit relations among the components of the lean enterprise transformation, with focusing on the priority and identification of the relative More
        A lot of methodologies for evaluation of the lean transformation have been proposed in the literature, but just a few of them explicit relations among the components of the lean enterprise transformation, with focusing on the priority and identification of the relative weight of each element on the lean transformation have been considered. Therefore, we try to quantify those relations in this study. So, to structural investigate the relationships among the elements, a model is proposed that presents a novel comprehensive insight to the lean transformation process. This study proposed an analytic modeling approach in the lean enterprise transformation to identify the weights of the elements. The goal is to operationalize the highly qualitative relationships among the lean transformation components. In this paper 32 effective factors in lean enterprise transformation, identified as "sub sub criterion" were grouped into eight categories classified as "sub criterion". These eight sub criteria classified through 3 criteria in the higher level which are “organizational asset development”, “quick adaptation to markets and competitive superiority acquisition” and “supply and distribution network optimization These three criteria were proposed as the major criteria involved in "delivery value maximizing", and ultimately, the value maximizing recognized as the main target of the lean transformation in companies. Fuzzy DEMATEL technique and fuzzy analytic network process modeling are used to determine the relationships and the relative weights of each component and then with fuzzy VIKOR method, 25 identified solutions related to conceptual model were ranked for implementing the lean transformation which regard the organizational purposes and the weights of the end level parameters of the conceptual model in a proposal framework. The present evaluating lean enterprise transformation is a comprehensive model that can be applied to different production industries. This model also was investigated in automative parts industry. Manuscript profile
      • Open Access Article

        44 - Investigation and Ranking of Proper Inter-Organizational Theories in Supply Chain Management (SCM) with Fuzzy Analytical Hierarchy Process (FAHP)
        فاطمه  شخصیان سید محمد صادق  خاکسار
        One of the key success factors of supply chain management (SCM) is inter-organizational relations controlling and coordination. Investigation on the literature shows that there is a gap in theoretical foundation for illustrating this kind of interactions. One of its sol More
        One of the key success factors of supply chain management (SCM) is inter-organizational relations controlling and coordination. Investigation on the literature shows that there is a gap in theoretical foundation for illustrating this kind of interactions. One of its solution is using of theories in other fields which are conformable in SCM. In this research four inter-organizational theories (Principal- Agent Theories, transaction cost analysis; the network theory; and the resource-based view) based on the literature are considered. The aim is determine their importance and preference upon proper theory evaluation criteria for development theoretical foundation of SCM according to this research. The research was descriptive-survey based on the experts’ viewpoint with the use of Fuzzy Analytical Hierarchy Process (FAHP). As a result, “reality” and “logical consistency” have the upset weight for the theories’ evaluation. In theories evaluation, “transaction cost analysis” and “the resource-based view “were more appropriate than two others. Manuscript profile
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        45 - Application of fuzzy theory in prioritization of technology transfer methods in Iran – Case Study: Iranian Powerhouse Industry
        مهرداد  بذرپاش علیرضا  باباخان مجید  پورمسگری
        Technology holder countries and organizations seek to sell their technology to less developed ones to achieve profits. Selection appropriate technology transfer (TT) methods may play significant role in obtaining TT projects. Due to the diverse experiences persistent to More
        Technology holder countries and organizations seek to sell their technology to less developed ones to achieve profits. Selection appropriate technology transfer (TT) methods may play significant role in obtaining TT projects. Due to the diverse experiences persistent to the field of TT in Iranian Powerhouse Industry, it seems necessary to prioritize appropriate TT methods in order to increase successful and decline failure contingency of future projects. In this investigation, a three phased model including clustering TT methods, prioritizing clusters, and ranking elements in each cluster has been proposed to select appropriate methods of TT. Fuzzy Analytical Hierarchy Process (FAHP) has been utilized to analyze the gathered data of distributed questionnaire among 30 experts. In order to evaluate validity of obtained results once the TT methods have been prioritized by Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) method. The findings of this stage confirm previous results. Manuscript profile
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        46 - Designing of a fuzzy expert of system in order of measuring of job satisfaction (By emphasising of Robbins four factors)
        نیما  قاسم‌نژاد مقدم Mohammad نریمانی راد
        Due to the importance of job satisfaction and its role in the success of the organization, this issue has long been of interest to scholars of management. However, this study tried to measure job satisfaction reports like this one model with fuzzy mathematics and the de More
        Due to the importance of job satisfaction and its role in the success of the organization, this issue has long been of interest to scholars of management. However, this study tried to measure job satisfaction reports like this one model with fuzzy mathematics and the determinants of job satisfaction Robbins offer. The fuzzy expert system designed in this study, four factors Robbins inputs are as follows: 1- Demanding and challenging work that will rival, 2- the same rights and benefits, 3- good working conditions, 4- good friends and colleagues. The purpose of this research is applied, but the present study is based on work done. Development experts and rules used to form the base of our knowledge, and in the end the system output and the model that job satisfaction is achieved This is done whit using MATLAB software. Finally, the model presented in the state-owned companies with a population of 198 persons and 50 persons out of which the results are as follows. Job satisfaction of the employees with 0/42 medium and 0/58 high (in the range [1 0]) and the phase can be expressed somewhat higher levels of satisfaction Manuscript profile
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        47 - Strategy Prioritizing Using LFPP Method and Strategic Map Tracing by Path Analysis Method Case Study:Sepahan Oil Company
        سید مصطفی  رضوی حسین  صفری محمد هادی  علی احمدی
        Nowadays companies should have a good strategy and a close partnership with the other companies involved in their supply chain in order to achieve the excellence and sublimation. Balanced Scorecard is a new consept that can provide the necessary conditions for strategy More
        Nowadays companies should have a good strategy and a close partnership with the other companies involved in their supply chain in order to achieve the excellence and sublimation. Balanced Scorecard is a new consept that can provide the necessary conditions for strategy map and effective cooperation and a good Strategic Planning. Due to the novelty of this consept and lack of a comprehensive model in this issue, the purpose of this study is to define the consept of BSC and identify its factors and indicators and propose a conceptual model to trace it.finally we use BSC as a tool to model strategies of a real problem. This real case is Sepahan Oil Company. This model confirmed through factor analysis (PA) and structural equation model (LFPP) Techniques. The results of our survey in the case study showed that the Sepahan Oil Company strategies can have a effective and efficient prioritization.By using this segments and their prioritization Sepahan can pass the difficulties and lockouts.The strategic map traced in this paper,help the company managers to have a complete vision on the company and its situation. Manuscript profile
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        48 - Designing a Fuzzy Expert System For Measuring E-Banking Service Quality
        shohreh nasri علیرضا  حسن زاده علی  رجب زاده
        With dramatic development of information technology and its widespread applications, increasing dependence on information technology and the increasing complexity of technologies and services which used in organizations, the management of these technologies and services More
        With dramatic development of information technology and its widespread applications, increasing dependence on information technology and the increasing complexity of technologies and services which used in organizations, the management of these technologies and services is more difficult. Hence,wiith the development of IT-based banking services,including electronic banking services,the requirement methods which evaluate the quality of these services in the organization has been increased. Therefore, in this study, a comprehensive model for more accurate measurement of e-banking service quality through an extensive literature review and questions from experts in this field is presented using Fuzzy Delphi Technique. In this regard,after the identification of relevant dimensions and criteria, since the traditional scale can not accurately evaluate the e-banking service quality in the terms of the uncertainty , these dimensions and criteria are to be fuzzified,then the fuzzy expert system conceptual model is presented.Finally, a fuzzy expert system with 5 fuzzy module and a graphical user interface is provided in MATLAB.The fuzzy expert system indicate the final status of e-banking service quality and the main dimension.In this paper, the application of this system has been has been examined in the Sina bank. Finally by calculating expert system errors, optimum performance of designed fuzzy system has been approved which is evaluated by sina bank information . Manuscript profile
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        49 - اولویت بندی استراتژیهای منابع انسانی با استفاده از تحلیل شبکه ای فازی (FAM) (مطالعه موردی ایران مرینوس)
        نورمحمد  قياسوند ناصر  ميرسپاسی
        Manuscript profile
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        50 - مدیریت ریسک زنجیره تامین با رویکرد شناسایی و مواجهه با نقاط آسیب زا با استفاده از تاپسیس فازی
         
        Manuscript profile
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        51 - مدیریت ریسک زنجیره تامین با رویکرد شناسایی و مواجهه با نقاط آسیب زا با استفاده از تاپسیس فازی
        Amir Mohammad Fakoor Saghiyeh  
        Manuscript profile
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        52 - بررسی تاثیر مدیریت جهادی بر استقرار اقتصاد مقاومتی با روش ویکور فازی
        علی  بنیادی نایینی mohammad hasan kamfiroozi
        Manuscript profile
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        53 - Performance Evaluation Model using the Balanced Scorecard and Fuzzy TOPSIS integrated approach BSC-FTOPSIS
        Mohammad Ehsanifar  
        ABSTRACT The present paper aims at presenting an incorporative fuzzy approach towards evaluating of performance using Balanced Scorecard (BSC). To do so, first, based on the data collected from evaluating the components of strategic management, main objectives, key fac More
        ABSTRACT The present paper aims at presenting an incorporative fuzzy approach towards evaluating of performance using Balanced Scorecard (BSC). To do so, first, based on the data collected from evaluating the components of strategic management, main objectives, key factors of success, and performance evaluation indices are identified. Next, using TOPSIS fuzzy method, the indices are prioritized and ranked so the indices with the highest impact on performance evaluation are identified and classified in the form of balanced scorecards. 29 people from among the elite, chiefs and key experts filled out a questionnaire, in order to achieve the goals of the study. The validity of the questionnaire was confirmed through the experts, and its reliability was defined using Cronbach's alpha (0.89%). At the end, the proposed model was executed in a branch of Saderat Bank in Tehran. The application of the improvisations resulted in the improvement in almost all defined indices, i.e., the Total Performance Index for the studied organization was 72.38% by April, 2015 (based on the last three months prior to that), which was raised to reach 79.16% three months after executing the model (the end of July, same year). Manuscript profile
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        54 - Developing a Performance evaluation model based on the Fuzzy Analytical Hierarchy process (FAHP) and the Balanced Scorecard (BSC) approach (Case Study one of the Iranian food industries)
        شیرین عادلی Rouzbeh Ghousi ramiar dabaghian
        The important role of food industries in promotion of the various health and economic indicators in the countries persuaded the industries involved in this affair to enforce fundamental reviews in the management approaches to enable them to perform the most efficient me More
        The important role of food industries in promotion of the various health and economic indicators in the countries persuaded the industries involved in this affair to enforce fundamental reviews in the management approaches to enable them to perform the most efficient methods for utilizing the limited available recourses to improve the society’s health and economic growth. The balanced scorecard, as one of the successful tools in performance evaluation system, does not show the importance degree for the perspectives and the indicators under each perspective. To eliminate this deficiency the fuzzy analytic hierarchy process method is used in this research for weighting the perspectives and balanced scorecard indicators. In this study, first a list of performance evaluation indicators based on balanced scorecard approach was prepared and then the pairwise comparison was gained through field study and the standard AHP questionnaire with compatibility rate lower than 0.1. At the end the rate of balanced realization was evaluated for each. Regarding the pairwise comparison among perspectives done by the experts the customer perspective weighting 0.328 showed the maximum importance degree among other perspectives. The finance perspective weighting 0.290, the internal business process perspective weighting 0.239, and the learning and growth perspective weighting 0.143 were ranked as second to forth level respectively. According to the obtained certain weights, the added income comparison to the previous year weighing 0.121 was ranked in first level. The number of customer complains weighting 0.094, the customer satisfaction weighting 0.086 were ranked in second to fifth levels respectively. Manuscript profile
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        55 - An Integrated DEMATEL and Fuzzy ANP Techniques Based Assessment Model For Intrapreneurship with Approach EFQM
        Kazem Nasiri Kashani Fazlolah Jamalou Leila Kiani
        In today's world, quick changes have varied the competition and also have faced organizational stakeholders with world’s challenges. In this turbulence environment, Intrapreneurship is functionality that can save today's systems as a new phenomenon in the economy at thi More
        In today's world, quick changes have varied the competition and also have faced organizational stakeholders with world’s challenges. In this turbulence environment, Intrapreneurship is functionality that can save today's systems as a new phenomenon in the economy at this critical period and play a more active role in economic development. Today, business excellence models also have an important role to deploy the key factors of organizational success and make performance improvements. These models provide the assessment criteria in both enablers and results and make guidelines for organizations to measure their progress and performance in the field of quality and organizational excellence. So it allows creating the needed infrastructure and capabilities for Intrapreneurship based on the EFQM Excellence Model. Therefore, after identifying the effective factors of implementation Intrapreneurship, these features are classified due to their nature at four main criteria include "leadership", "Policy and Strategy", "employees" and "partnerships, resources and processes" that all of them are the enablers of the EFQM model. This paper presents an analytical modeling method that makes practicable a qualitative relationship between the elements of Intrapreneurship. We used the integrated approach of fuzzy Dematel and fuzzy modeling network analysis to determine the relationship and weight relative importance of each element in model. The results indicated “leadership” at the main criteria level has the most highly effect and “employees” has the most important coefficient. Also "senior management support" has the highest importance coefficient and highly effect in the sub-criteria. In this study we presented individual entrepreneurs and Intrapreneurship assessment model that is a comprehensive model and can be used in different organizations and finally we evaluated this model in Iran Power Development Company. Manuscript profile
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        56 - بررسی نقش ابزارهای مدیریت دانش در توانمندسازی کارکنان با استفاده از AHP فازی
        Alireza Aliahmadi
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        57 - بررسی نقش ابزارهای مدیریت دانش در توانمندسازی کارکنان با استفاده از AHP فازی
        Alireza Aliahmadi میثم  جعفری
        Manuscript profile
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        58 - Proposing a superior model to localize technology in petrochemical industry by using of fuzzy multi-criteria decision-making method
        Mohammad ali shafia Alireza Aliahmadi Ali Bonyadi Naeini Mir Hamid Taghavi
        The concept of indigenous technology and localization of technology, have been discussed in various circles, especially at the scientific and technological communities of developing countries. When these words are expressed, most minds are focused on the traditional ind More
        The concept of indigenous technology and localization of technology, have been discussed in various circles, especially at the scientific and technological communities of developing countries. When these words are expressed, most minds are focused on the traditional industry. But in matters relating to technology transfer process and the need to consciously deal with imported technology, the concept of these words refer to the creation of structure and context for understanding and discovering of technical knowledge of imported technology and in fact, confirm the realization of a process that includes learning, absorption, reformation, compliance, internal development and big and small changes, and finally, the mastery of imported technology, innovation and its dissemination. While the mechanism of innovation in industrialized countries was well understood, but the process of localization and technology transfer that is considered as the main mechanisms of industrial development in developing countries, is still not clear.The statistical population of the study consisted of 40 managers, specialists and experts in the petrochemical industry, which has been selected by purposive sampling. In the current study, factors affecting localization of technology were extracted based on research literature and researchers studies in this field and successful experiences at academic center for education culture and research of Iran University of Science and Technology, Medical equipment manufacturing industry, Deffence industry, and Tajrobeh Nour Turbine Company as pertinent organizations involved in the issue. Methods used in deriving these factors are semi-structured interviews with experts in the petrochemical industry and validation method in the qualitative research. Quantitative techniques used in this research are: Fuzzy Analytical Network Process (FANP) to rank the criteria and sub-criteria, Fuzzy DEMATEL to determine the internal relationship between criteria and Fuzzy TOPSIS to prioritize models. The results show that there is a superior model to localize the technology in petrochemical industry. Manuscript profile
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        59 - An Integrated DEMATEL and Fuzzy ANP Techniques Based Assessment Model For Intrapreneurship with Approach EFQM
         
        In today's world, quick changes have varied the competition and also have faced organizational stakeholders with world’s challenges. In this turbulence environment, Intrapreneurship is functionality that can save today's systems as a new phenomenon in the economy at thi More
        In today's world, quick changes have varied the competition and also have faced organizational stakeholders with world’s challenges. In this turbulence environment, Intrapreneurship is functionality that can save today's systems as a new phenomenon in the economy at this critical period and play a more active role in economic development. Today, business excellence models also have an important role to deploy the key factors of organizational success and make performance improvements. These models provide the assessment criteria in both enablers and results and make guidelines for organizations to measure their progress and performance in the field of quality and organizational excellence. So it allows creating the needed infrastructure and capabilities for Intrapreneurship based on the EFQM Excellence Model. Therefore, after identifying the effective factors of implementation Intrapreneurship, these features are classified due to their nature at four main criteria include "leadership", "Policy and Strategy", "employees" and "partnerships, resources and processes" that all of them are the enablers of the EFQM model. This paper presents an analytical modeling method that makes practicable a qualitative relationship between the elements of Intrapreneurship. We used the integrated approach of fuzzy Dematel and fuzzy modeling network analysis to determine the relationship and weight relative importance of each element in model. The results indicated “leadership” at the main criteria level has the most highly effect and “employees” has the most important coefficient. Also "senior management support" has the highest importance coefficient and highly effect in the sub-criteria. In this study we presented individual entrepreneurs and Intrapreneurship assessment model that is a comprehensive model and can be used in different organizations and finally we evaluated this model in Iran Power Development Company. Manuscript profile
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        60 - Identifying Evaluation Criteria for the Political Behaviors of Chief Administrative Officers at Bank Maskan Iran Using DEMATEL - Fuzzy Delphi Technique
        Naser Poursadegh Rashid Zolfaghare zaferani Amir Rezaee
        The role of effective and efficient management is becoming more important in today’s competitive world which is undoubtedly full of complexity, ambiguity, and uncertainty in challenging situations, competitions, and conflicts. People associate power with many advantages More
        The role of effective and efficient management is becoming more important in today’s competitive world which is undoubtedly full of complexity, ambiguity, and uncertainty in challenging situations, competitions, and conflicts. People associate power with many advantages; therefore, they make many efforts to gain it in organizations. Battling for power raises the discussion of political behaviors in organizations. The aim of this study was to present a multi-index decision-making fuzzy hybrid model of qualitative analysis to identify the dimensions and indices of political behavior occurrence among CAOs at the branches of Bank Maskan in Tehran by using a fuzzy Delphi technique. Moreover, the decision-making trial and evaluation laboratory (DEMATEL) technique was employed to determine how influential and influenceable the indices were. The statistical population included 20 CAOs (Bank Maskan) with at least 10 years of executive and management experience. The research results indicated that Personal Characteristics became known as the most influential dimension with the highest value of (R-J) (1.244) among the evaluation criteria for political behaviors of CAOs at Bank Maskan. Moreover, Occupational Attitudes became identified as the most influenceable dimension according to the lowest value of (R-J) (1.358). Given the highest value of (R+J), Personal Characteristics interacted the most with other dimensions (1.244). Manuscript profile
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        61 - A dynamic combination multi criteria decision making in the paper manufacturing industry based on fuzzy VIKOR type 2 approach
        Meysam Jafari Eskandari ramin sadeghian fataneh yarahmadi mostafa yousefi
        Paper manufacturing industry is one of the prominent and impactful industries in countries and societies. Leak of knowledge, awareness, information and etc. is affiliate to the existence of paper and without it, there is no chance of saving and recording the information More
        Paper manufacturing industry is one of the prominent and impactful industries in countries and societies. Leak of knowledge, awareness, information and etc. is affiliate to the existence of paper and without it, there is no chance of saving and recording the information. Each year a significant amount of paper is being produced and consumed in the world and the turnover of this industry is significant. In this research the focus is on paper industry and the providers of this service and we are seeking to prioritize the decisions based on merging of fuzzy model of second type with decision making of several complex dynamic indexes. With VIKOR in paper industry. First of all, 5 important decisions have been identified by the expertise in paper industry that includes 1) An attempt to include technology and new machines 2)Investigating on new products and diversification of products 3) Educating employees and managers 4) Organizing technical production, storage and managing the employers 5) Suitable pricing and advertising to attract new inside and outside consumers Also 6 criterions have been proposed to evaluate these decisions For evaluating the decisions, we have used the fuzzy VIKOR approach of type 2 and after going through research stages, decision number 1 and 2 gained the most priority. Manuscript profile
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        62 - Designing lay-off pattern of human resources in local organizations (Case study: Municipalities of Esfahan province)
        محسن  صانعی
        The purpose of this research is to present a pattern regarding lay-off in local organizations (a case study about municipalities of Esfahan province) and also to analyze the impact of structural, behavioral and individual factors on lay-off and its aspects. The method u More
        The purpose of this research is to present a pattern regarding lay-off in local organizations (a case study about municipalities of Esfahan province) and also to analyze the impact of structural, behavioral and individual factors on lay-off and its aspects. The method used to do this research is descriptive and correlative .The method used to collect information is mixed (qualitative and quantitative).In the first stage (qualitative approach), the subjects were 22 experts who had suitable information about the issue of lay-off. A lay-off pattern and the influential factors on lay-off were designed using the fuzzy Delphi method and also fuzzy logic. These two methods were used to have more correlation between the views of the experts. Then, in the quantitative part, a questionnaire was designed in order to evaluate the pattern and then after reviewing the validity of the questionnaire through Exploratory Factor Analysis, it was given to some managers who, based on Judgmental Sampling, had been chosen out of managers of branches and units of municipalities in Esfahan province. The relationships between components of the model were reviewed using structural equation model. The findings demonstrated that the hypotheses were confirmed and the effect of individual, behavioral and structural factors on lay-off, the mutual effect of behavioral and structural factors and also the effect of individual factors on structural and behavioral factors are meaningful and direct.To this end, municipalities can take the right decisions, which are based on the views of experts, about the time of lay-off, the branch or the people who are going to be laid off and also the influential resources in lay-off. Manuscript profile
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        63 - Prioritize Allocating Budget For Civil Project In Ministry of Sience, Research and Technology Using Fuzzy Anatical Hierarchy Process and Fuzzy Topsis
        Alireza Aliahmadi Mohsenali  Shayanfar Mostafa Farmani
        Recently, decisions and debates related to it, such as the allocation of credits for planes and projects at the country level and at managerial levels, are a major issue in organizations, ministries and official institutions of the country. The proposed model for budget More
        Recently, decisions and debates related to it, such as the allocation of credits for planes and projects at the country level and at managerial levels, are a major issue in organizations, ministries and official institutions of the country. The proposed model for budget allocation is a tool for accelerating decision making by managers. In this research, which was conducted to prioritize development projects at Science Research and Technology ministry , in addition to the management decision making quicknessusing, it has been tried to answer the question ,which is the most appropriate choice among options available (projects) using multi-index models? This method is based on decision-making and decision-making matrix basis. To this end, in this research, a multi-index model is used to answer what factors are to be allocated This research studies how to design aeffective model for allocating credit to development of the construction projects in the Ministry of Science, Research and Technology using multi-criteria techniques. The purpose of this research is to identify and rank effective indicators on credit allocation and Their grading (importance coefficient) and choosing the optimal option and preparing a credit allocation model. After initial refinement among the indicators and criteria, using the fuzzy hierarchical process method and the fuzzy topisation method, which are the multi-Criteria decision-making methods and with the help of MATLAB software and other related software which is one of the most important tools for accelerating multi-criteria decision-making techniques, criteria and indicators are ranked and weighted. Manuscript profile
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        64 - Impact of privatization through exchange on the performance of banks in interest-free banking system based on economic resistive criteria
          Mohammad Nasr Isfahani Mahmood Pirzadi
        After Islamic Revolution in Iran, all private banks were announced public based on Article 44 of the constitution. Accordingly, all private banks were replaced by public integrated banking system. However, establishment of credit financial institutions since1997 paved t More
        After Islamic Revolution in Iran, all private banks were announced public based on Article 44 of the constitution. Accordingly, all private banks were replaced by public integrated banking system. However, establishment of credit financial institutions since1997 paved the way to establish private banks. Finally, central bank announced its agreement for establishment of private banks in February 1998. In April 2000, the law of establishment of non-public banks was passed. In this study, the performance of private banks during 2005 to 2015 was assessed to investigate their failure or success. Additionally, using the Delphi method and investigation of balance sheet of banks, a comprehensive reportwas obtained from status of privatebanks and the impact of privatization on the banking indicators was examined. The results of assessment of balance sheets and obtained data obtained show privatization of banks had a positive impact on efficiency and profitability of banks.In addition, according to the results, "Premium Features" of private banks compared to public banks includedreducedtotal costs of money, reducedoutstanding loans and doubtful debts of the bank, reduced gap between the interest rate paid on deposits and interest received from a given facilities, updating and creating a modern information structure of banking, providing new service, increased productivity of human resources, using specialists and educated manpower, increased profitability, creating a competitive environment and transparency of information, reduced reliance on central bank at deficits times, and management of risk.In addition, by using the Delphi technique, "Top Premium Features" of private banks compared to public banks were obtained and they were weighted using FANP method. Accordingly, four criteria of reduced total costs of money, reducedoutstanding loans and debts, creating a competitive environment and increased productivity of human resources had the highest weights, respectively. Manuscript profile
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        65 - A model to collaborate on R&D projects based on TRL
        Hassan Torabi Hossein  Dehghani poodeh Mohsen  Cheshmberah Mohammad Hussein Karimi gavareshki Reza i Hosnav
        Regarding the importance of CoPS in providing the organization with technological capability and the differences existing between these systems and mass products, it is essential to develop a model to collaborate on CoPS R&D. Exploitation of the capabilities of the netw More
        Regarding the importance of CoPS in providing the organization with technological capability and the differences existing between these systems and mass products, it is essential to develop a model to collaborate on CoPS R&D. Exploitation of the capabilities of the network of collaborators is a desirable option due to inability of the organization in providing the resources comprising finance, human, facilities and expertise. Reviewing the literature on CoPS and technological collaboration incorporating the kind and motivations of collaborators and organizational forms of collaboration and interviewing 18 experts of the organization, a model was developed based on TRL approach and fuzzy cognitive mapping tool. Considering the model developed, the steps of project is classified into 3 categories: Green(able to be collaborated in network), Yellow (able to be collaborated on condition) and red (unable to be collaborated). The role of the members of the network and the strategy of collaborating with them is specified as follows: R&D contract with universities and consulting agents, Educational acquisition with faculty members, outsourcing the projects intended as military service compensation, and R&D contract or research funding with knowledge-based institutions. On the other hand, the position of technology developing and designing centers is specified employing the national innovation system as an upper hand document. Validity of model is proven by checklist of good theories. Manuscript profile
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        66 - Evaluating performance of IT department a fuzzy AHP and BSC approach
        محسن ناظم بکایی
        In this ever-changing world, information technology (IT) is a must for the survival of a company, and the functions of IT department is becoming increasingly important. The assessment of IT department is critical to understand how the department contributes to organizat More
        In this ever-changing world, information technology (IT) is a must for the survival of a company, and the functions of IT department is becoming increasingly important. The assessment of IT department is critical to understand how the department contributes to organizational and strategic goals. Because IT department performs many tasks that cannot simply be measured by monetary units, evaluation methods that solely rely on financial measures are not adequate. The objective of this study is to construct an approach based on the fuzzy analytic hierarchy process (FAHP) and balanced scorecard (BSC) for evaluating an IT department in the company studied. The BSC concept is applied to define the hierarchy with four major perspectives (i.e. financial, customer, internal business process, and learning and growth), and performance indicators are selected for each perspective. A fuzzy AHP (FAHP) approach is then proposed in order to tolerate vagueness and ambiguity of information. A FAHP information system is finally constructed to facilitate the solving process. The results provide guidance to IT departments in the Industry Case Study regarding strategies for improving department performance. The constructed information system is suggested to be a good tool for solving other multiple-criteria decision-making problems. Manuscript profile
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        67 - Determine and rank effective leadership components in cultural and art organizations through an Iranian Islamic approach using Fuzzy Delphi method.
        Mohammad chakoshian reza sepahvand mahmoodreza esmaeili amirhoshang nazarpoori
        Regarding the significance of culture and cultural and art organizations in the community cultural growth, and according to the leadership signifiacnce in the organizations, the present research is conducted to determine and rank effective leadership components in cultu More
        Regarding the significance of culture and cultural and art organizations in the community cultural growth, and according to the leadership signifiacnce in the organizations, the present research is conducted to determine and rank effective leadership components in cultural and art organizations through an Iranian Islamic approach using fuzzy Delphi method. Research statistical population included managers of cultural organizations, cultural experienced management professors, as well as culture experts. 22 research samples were selected using purposeful snowball sampling method. Following literature review and research background and interviewing some experts, 22 components were identified and exposed to the experts through a questionnaire. All 22 components were verified through fuzzy Delphi method. Research results show that leadership components of insight, ethics orientation, religion orientation, tolerance, self-control, dependability, inspiring, refinement, seeking excellence, and finally growth and empowerment are ranked in order. Manuscript profile
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        68 - Designing and the Explanation of the Innovation Model in Production of the Food Products through a Study in the JAMM and ROZE TALAEE Food Products Industries Group
        Ramezan Gholami Avati
        Nowadays, everything is changing and transforming, and the competitors are seeking for increasing in their own market share through reaching to the competitive advantage. The considering of the innovation, as one of the alternatives for increasing in competitive advanta More
        Nowadays, everything is changing and transforming, and the competitors are seeking for increasing in their own market share through reaching to the competitive advantage. The considering of the innovation, as one of the alternatives for increasing in competitive advantage within commercial dynamic environments and contexts, is an essential matter. On the other hand, there are various factors which are influential on the innovation. These factors, therefore, must be studied. Indeed, the purpose of the present research is designing and explanation of the innovation model in the production of food products. The methodology of the present study, in term of purpose, is an applied one, and in term of nature and method, is a descriptive-analytical study. Statistical population of the study includes the experts and managers of the JAMM and ROZE TALAEE Production and Packaging Industries Group. In the present research, after reviewing the literature, influential factors on the innovation process recognized and organized in three dimensions (behavioral factors, structural factors, and environmental factors). Research dada have been gathered and analyzed by using the questionnaire and Fuzzy Delphi Techniques and Interpretive Structural Modeling (ISM). The results of ranking of the research variables using Interpretive Structural Modeling (ISM) test, after identification of the main variables, showed that the innovation performance, commerce, productivity, research and development (R&D), and venturing on the knowledge components as the most impressionable variables ranked in the upmost level, and the world economic streams and innovation policies components as the most influential variables ranked in the lowest level. Manuscript profile
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        69 - Project Performance Management Based On Fuzzy Approach Under Uncertainty
        Alireza Ghanbari Houshang Taghizadeh Soleyman Iranzadeh
        project management is the application of process, method, knowledge, skills and equipment to meet project requirements. Project performance management and measurement is one of the most important roles of project managers. Earned Duration Management (EDM) technique as a More
        project management is the application of process, method, knowledge, skills and equipment to meet project requirements. Project performance management and measurement is one of the most important roles of project managers. Earned Duration Management (EDM) technique as a project management methodology is the most recent methodology in this area which unlike former techniques, use time-based data for measuring project performance which derives more realistic result in performance measurement. A novel approach proposed in this article is based on fuzzy approach which is capable to measure project performance under uncertainty using EDM methodology. in this regard, linguistic terms are used for expressing activities progress and development of EDM metrics. also, ranking fuzzy numbers in this research, out of different methods, is based on relative preference relation, however it is complicated but it reserves fuzzy messages. The proposed approach is implemented is a real sample in road construction project and the result are described. Manuscript profile
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        70 - Provide a multi-objective mathematical programming model for supplier selection in discounted status
        Abbas Shoul ali yaghoubipoor laleh abbaslo
        In the present study, the supplier selection problem from a new perspective is formulated and solved. For this purpose, minimizing cost and minimizing delivery time and maximizing reliability are considered as objectives of the problem. The purchasing cost in discounted More
        In the present study, the supplier selection problem from a new perspective is formulated and solved. For this purpose, minimizing cost and minimizing delivery time and maximizing reliability are considered as objectives of the problem. The purchasing cost in discounted status, the order cost, the transportation cost, the shortage cost and the carrying cost, the components forming the cost objective function. In this research, the design of reliability in parallel systems is benchmarked for supplier selection, so that the supplier's set is considered as a system and each supplier as a component. After mathematical modeling of the problem, the objective functions are described as fuzzy goals and a fuzzy decision approach has been used to rewrite the proposed three-objective model as a single-objective model. The production of a final solution rather than a set of Pareto's solutions is one of the advantages of the proposed method, which prevents decision-making confusion. In order to describe the function and potential application of the proposed method, the supplier selection problem with the actual data was solved. Manuscript profile
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        71 - Identifying and Prioritizing Expectations of Internet Banking Users Using Fuzzy Multiple Criteria Decision Making
        Masoud Moosavi Nezhad Alireza Shahraki
        Nowadays, with the acceleration of the development of information and communication technology in the world and the need for trade in the presence of banks to transfer financial resources, the importance of using Internet banking has become more prominent. At the moment More
        Nowadays, with the acceleration of the development of information and communication technology in the world and the need for trade in the presence of banks to transfer financial resources, the importance of using Internet banking has become more prominent. At the moment, it seems that banks have to pay close attention to Internet banking, one of the important branches of electronic banking, and to take more effective steps towards the culture and education of this method. The purpose of this study was to identify and prioritize the expectations of internet banking users and rank the banks based on expectations by fuzzy multi-criteria decision-making methods. Following library studies and expert opinions, user expectations were identified and a questionnaire was developed based on the hierarchical analysis process, and the views of 20 experts were gathered. The results of this method indicate that the criteria for ease of use, access, and professional services have more weights and ranked first to third. Therefore, with respect to the product, prioritizing the expectations of Internet banking users, it is possible to analyze and prioritize different customers, and design and manage the services according to their needs. Manuscript profile
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        72 - Identification the components of Distinguishing management using Delphi fuzzy technique
        Seyyed Najmuddin Mousavi Ali shariat nejad
        The present study aimed to provide distinguish management cpmponent for pharmaceutical companies using Fuzzy Delphi method. This research is a mix research with exploratory approach which in terms of quantitative and qualitative research in the field of methodology and More
        The present study aimed to provide distinguish management cpmponent for pharmaceutical companies using Fuzzy Delphi method. This research is a mix research with exploratory approach which in terms of quantitative and qualitative research in the field of methodology and in terms of research philosophy includes deductive-inductive research. The statistical population of this study is all pharmacies, pharmacy companies in Lorestan province. In the qualitative section, the sample members of the research using a bullet-sampling method are selected and in the quantitative part of the research, they selected by Multi-stage cluster sampling. Since the present study is a mixed research with a quantitative and qualitative approach, both the interviewing tools and the questionnaire are used simultaneously. Regarding to analyze the research data, it should be noted that for analyzing qualitative data, the coding method and the ATLAS.TI software were used, also analysis in qualitative section with fuzzy Delphi were used. The results of the research show that the powerful knowledge chain in drug production, the use of medicinal plants, the dependence of the world's pharmaceutical companies on medicines and medicinal herbs, and the existence of a monopoly on the expertise in some of the drugs produced are most effective factors influencing for competitiveness of pharmaceutical companies. Manuscript profile
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        73 - Creating a systemic model for identifying the success factors of establishing a knowledge management system in aeronautical organizations and providing improvement solutions (case study: one of the Air Organizations)
         
        In today's world, many organizations with low profits, limited capital and intensive competition, and at the same time must meet the endorsements of shareholders, are successful organizations that can create better opportunities and create new opportunities. Given the i More
        In today's world, many organizations with low profits, limited capital and intensive competition, and at the same time must meet the endorsements of shareholders, are successful organizations that can create better opportunities and create new opportunities. Given the importance of knowledge and its pivotal role in the knowledge age, organizations, especially knowledge-based organizations, whose knowledge is a strategic source and a key factor in acquiring and maintaining the core competence of the organization, is essential for establishing knowledge management and identifying obstacles. Thought ahead with implementation with a systematic approach to develop the capabilities that lead to the development of knowledge as a key source of enterprise. In order to achieve this goal, a knowledge-based knowledge-based airspace-based knowledge management organization was considered and a system model was mapped out. At first, various factors that can be effective were identified through questionnaires and interviews and literature reviews. Then, the causal and impulsive diagrams, which are one of the tools used in the dynamics dynamics methodology, were drawn and finally, these factors were prioritized using the fuzzy dematerial method and the effective and effective factors were identified. The rate of knowledge sharing, the number of human resources with a high level of knowledge and experience, the quality of individual work of the staff, the culture of sharing knowledge and the level of attention of senior executives to the IT infrastructure were the five most important and important factors. These factors were used as the basis for developing knowledge management strategies in the organization in order to achieve effective strategic strategies. In today's world, many organizations with low profits, limited capital and intensive competition, and at the same time must meet the endorsements of shareholders, are successful organizations that can create better opportunities and create new opportunities. Given the importance of knowledge and its pivotal role in the knowledge age, organizations, especially knowledge-based organizations, whose knowledge is a strategic source and a key factor in acquiring and maintaining the core competence of the organization, is essential for establishing knowledge management and identifying obstacles. Thought ahead with implementation with a systematic approach to develop the capabilities that lead to the development of knowledge as a key source of enterprise. In order to achieve this goal, a knowledge-based knowledge-based airspace-based knowledge management organization was considered and a system model was mapped out. At first, various factors that can be effective were identified through questionnaires and interviews and literature reviews. Then, the causal and impulsive diagrams, which are one of the tools used in the dynamics dynamics methodology, were drawn and finally, these factors were prioritized using the fuzzy dematerial method and the effective and effective factors were identified. The rate of knowledge sharing, the number of human resources with a high level of knowledge and experience, the quality of individual work of the staff, the culture of sharing knowledge and the level of attention of senior executives to the IT infrastructure were the five most important and important factors. These factors were used as the basis for developing knowledge management strategies in the organization in order to achieve effective strategic strategies. Manuscript profile
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        74 - Analysis of Factors Affecting Stock Selection Using Logarithmic Fuzzy Preference Programming Approach
        Daryush  Farid َAbolfazl Dehghani firoozabadi Davood Andalib Ardakani hamidreza mirzaei
        The stock market is especially important as a capital investment instrument both for the investor and for the investor. Stock markets are affected not only by large parameters but also by thousands of other factors. The high number and unknown factors affecting stock p More
        The stock market is especially important as a capital investment instrument both for the investor and for the investor. Stock markets are affected not only by large parameters but also by thousands of other factors. The high number and unknown factors affecting stock prices, as well as the complexity of the relationship between these factors and the stock price, have caused uncertainty in the field of investment. One of the tools to reduce uncertainty and the most important discussion of investing in the stock exchange is the selection of the stock portfolio optimally. In this study, through interviewing experts and reviewing existing documents, 6 main criteria for identifying the optimal stock portfolio selection were identified. Using logistic fuzzy preferential programming, weighing these criteria and, finally, weighting the indexes related to We defined each criterion. The results show that the criteria for profitability, efficiency and risk are the most important criteria in choosing stock portfolios Manuscript profile
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        75 - Identification and analysis of the service capabilities in Iran’s small enterprises (SEs) using integrated interpretive structural modeling and fuzzy MICMAC approach
        davod khosroanjom Ali Rajabzadeh Ghatary عباس  مقبل
        From a resource-based view, service delivery relies heavily on the resources and capabilities of the organization to create sustainable competitive advantage over the long term. In reviewing the literature, no research has been conducted on the relationship between dime More
        From a resource-based view, service delivery relies heavily on the resources and capabilities of the organization to create sustainable competitive advantage over the long term. In reviewing the literature, no research has been conducted on the relationship between dimensions and criteria of the service capability apart from firm performance and the relationship network and their effectiveness have not been analyzed and the focus of the research has been on the relationship between dimensions and firm performance. The purpose of this study is identify the service capability criteria and use interpretive structural modeling to structure the relationships between these criteria as well as the use of the fuzzy MICMAC analysis to cluster the criteria. Therefore, based on a resource-based view, the service dimensions and capabilities including management, organizational, marketing and service quality were comprehensively identified and extracted through subject literature and interviews with 11 experts. The results showed that according to ISM model "Corporate quality", "interactive quality", "planning, control and integration of activities" and "differentiation of activities and level of centralization" are important criteria that are the basis of the structure of capability services are considered and also with respect to the fuzzy MICMAC analysis the criteria of "analysis and formulation of the strategy", "planning, control and integration of activities" and "physical quality" were classified as the "most important" criteria of service capabilities that have high power to influence they have other criteria, so Iran's small enterprises need to take major steps to strengthen this criteria Manuscript profile
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        76 - Model of the relationships between Network Leadership antecedents
        rouhollah sharifi Hasan Alvedari reza rasouli Mohammad Montazeri
        The development of network leadership theory in the field of university activities is an important step towards the development of network literature. Due to the wide range of communication of Payame Noor University with internal and external organizations as well as th More
        The development of network leadership theory in the field of university activities is an important step towards the development of network literature. Due to the wide range of communication of Payame Noor University with internal and external organizations as well as the qualitative and quantitative goals of the university, network leadership is the best leadership style to maximize the control, control and maximum utilization of Payame Noor University's communication capacity.In this regard, the present study has attempted to identify the network leadership antecedents at Payame Noor University and to investigate the causal relationships between these antecedents using Fuzzy DEMATEL technique.This research is applicable in terms of purpose, and descriptive in terms of data collection. In order to collect data we used the viewpoints of experts which selected by purposeful sampling and Sample size for completing the questionnaire of 12 full-time faculty members of Payame Noor University with a minimum associate degree and 10 years of academic background from ten areas of Payame Noor University. After identifying Network Leadership antecedents at Payam-e-Noor University from the literature, to determine the status of causal relations among these factors, Fuzzy DEMATEL technique was used over 6 steps. The results of data analysis showed that among the extracted antecedent from literature, empowerment is the most fundamental factor. Also, the two factors of empowerment and leader proactivity are the most influential factors among other network leadership antecedents at Payam-e-Noor University, and on the opposite side are the most influential indicators, culture and spirit of participation. According to the results of the research, Payam Noor University administrators should pay special attention to empowerment and leader proactivity as the two main factors influencing the implementation and optimal implementation of network leadership. Manuscript profile
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        77 - Examining solutions to deal with the shortage of cyberspace security experts in the country
        Mohammad fathian Mehdi Abolhamid mohammadreza rafeei
        Expert workforce is one of the most important IT security assets that private and public sectors around the world are currently competing for. According to specialists, Iran is also facing the shortage of cyber security experts, which can lead to potentially serious pro More
        Expert workforce is one of the most important IT security assets that private and public sectors around the world are currently competing for. According to specialists, Iran is also facing the shortage of cyber security experts, which can lead to potentially serious problem. This study presents some solutions for this problem in Iran. In order to identify the solutions, literature was reviewed and semi-structured interviews were conducted through related various experts and specialists. Finally, strategies were prioritized by fuzzy analytic hierarchy process and solutions are investigated by importance-performance analysis. According to the results, specialists believe that workforce maintaining and training improvement are more important than other strategies. Training-recruitment plans, aptitude assessment plans, cyber security events and challenges, schools student targeted plans and improving policies and rules have been considered as more important solutions. Manuscript profile
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        78 - Universal Banking Modeling Based Staff Empowerment
        hamidreza kazemi naser hamidi babak hajikarimi
        Nowadays, industries, especially the banking industry, are facing a much more complex environment than the past decade. Therefore, they have to adapt to the environment to obtain and maintain their competitive edge. The traditional banking system is no longer efficient More
        Nowadays, industries, especially the banking industry, are facing a much more complex environment than the past decade. Therefore, they have to adapt to the environment to obtain and maintain their competitive edge. The traditional banking system is no longer efficient enough, while a universal banking system can provide more varied services to a more diverse clientele. Considering the radical humanist paradigm in the analysis of social theories and a focus on the effectiveness of capable human resources for the correct implementation of universal banking in Iran, the present paper aims to propose a universal banking system focusing on the empowerment and skill development of bank employees. This study used the Delphi fuzzy method to select experts and classify and analyze their responses. Further, the Linear Programming and , FGTMA-FDEMATEL and screenwriting method was used to identify and investigate the criteria correlationsand map the network relationships. Arobust statisticalmethod was used to solve optimization problems based on data uncertainty.and lingo software was used to solve the problem. The results drawn from the model indicated that factors such as employee decision-making ability, responsibility towards executing a decision, access to decision tools, and employee self-efficacy sources influence the empowerment of employees and correct implementation of private, corporate,business, and investment banking. Further, they showed that sense of competence, motivation, participation, sense of effectiveness, and information technology influence universal banking. In addition, training and reward influence all types of universal banking Manuscript profile
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        79 - A model for evaluating green marketing in the insurance industry
        aigin ghorbani ameneh khadivar leili niakan
        The insurance industry is vital in the country that is affected by green marketing. However, there is no accurate information on the green marketing situation in the country's insurance industry. This research has been tried to identify the main criteria of green market More
        The insurance industry is vital in the country that is affected by green marketing. However, there is no accurate information on the green marketing situation in the country's insurance industry. This research has been tried to identify the main criteria of green marketing evaluation to provide a model for a green marketing audit. In this regard, first, the main criteria were identified and approved by experts through a questionnaire. The final framework consists of 24 sub-criteria that are classified into ten criteria. Then, by using the fuzzy DEMATEL method, the internal relationships between the criteria and the hierarchical analysis method, each criterion and sub-criteria's final weight are obtained. According to the results, among the causes, the criterion of mission has the greatest effect on all criteria and takes the least effect from other criteria. So, this criterion has the most stimulus role, and by optimizing it, we can expect the optimization of other factors. The green sales factor is also strongly influenced by other factors and is optimized by optimizing other factors. Also, the criterion of the mission with an effective weight of 0.23 is the most important, and the criterion of green design with an effective weight of 0.024 is the least important Manuscript profile
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        80 - Identifying the appropriate method of technology transfer in an automotive battery industry aimed at world-class manufacturing
        Amir Hossein Latifian Reza Tavakoli Moghadam mphammadali keramati
        Today, with the progress of science and the increasing trend in complexity of technological processes, cooperation between organizations is among their significant strategies and their public policies in technology development all around the world. So, success in the wo More
        Today, with the progress of science and the increasing trend in complexity of technological processes, cooperation between organizations is among their significant strategies and their public policies in technology development all around the world. So, success in the world today is obviously dependent on utilizing technology. Technology transfer is just one of the fields in implementation of technology management, which requires a broad and delicate vision. For this very reason, this research deals with recognizing and ranking the parameters influential in technology transfer in the automotive battery industry, to reach manufacturing world class. In the first part, effective indexes in assessing technology transfer methods in the automotive battery industry section were recognized and within the second part, Weighting coefficients related to any individual index were calculated through implementing fuzzy step-wise weight assessment ratio analysis (SWARA) decision-making method and then, in order to implement the proposed model, the methods of technology transfer were evaluated and their final prioritization was calculated utilizing the combined method of GRA-VIKOR relation analysis under the fuzzy environment .According to the results of the fuzzy step-wise weight assessment ratio analysis (SWARA) method, three influential factors in evaluation of technology transfer methods in the automotive battery industry were introduced as “he management style development”, “the strategic consequences” and “the cost effectiveness”. Finally, based on the results of the proposed method, the transfer method of “joint investment” was recognized as the most suitable technique for technology transfer in this industry, and through this method, all the managers and policy-makers can focus all theiractivities based on this system. Manuscript profile
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        81 - Prioritizing obstacles of industry - university interaction in order to develop of intelligent urban transportation infrastructures using Fuzzy AHP
        Hamzeh Amin-Tahmasbi aboozar ghorbani
        Any society to achieve real and sustainable development goals requires continuous interaction between scientific and technical institutions, takes form in the template of university and industry. In fact, universities are generating knowledge and transferring it to scho More
        Any society to achieve real and sustainable development goals requires continuous interaction between scientific and technical institutions, takes form in the template of university and industry. In fact, universities are generating knowledge and transferring it to scholars, the industry also works to apply knowledge and shares its expectations to university research teams, and they present their ideas, findings and outcomes to the industry. Transportation science also is no exception, and in recent years, it has introduced and implemented new technologies called Intelligent Transportation Systems (ITS) in universal level. Studies in Iran show that transferring knowledge between university and intelligent transportation industry face challenges and obstacles that have led industry owners to the direction of assembling imported components and escaping from universities. This study aims to explanation and interpretation of viewpoints of university and industry section experts about obstacles that affect transferring knowledge between these two institutions in line with implementation of intelligent urban transportation. In this research, firstgy determined effective indices of industry – university interaction obstacles by searching library and documentation resources. Fuzzy Delfi is used to sieve indices and identifying final submeasures. As 43 suggested obstacles were initially available to transportation science experts and by this technic, at first stage 27 obstacles and then, 15 obstacles were chosen for evaluation and ranking. Ranking was also done though fuzzy AHP. Results showed that lack of necessary infrastructures in ITS industry, and lack of applicability in science production areb the main obstacles of industry – university interaction in order to develop infrastructures of intelligent urban transportation Manuscript profile
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        82 - -
        Ahmad Reza Bahramian
        -
        - Manuscript profile
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        83 - Fuzzy Evaluation of Long-Term Impacts of Electrical Appliances Efficiency Improvement on Load Pattern
        M. Behrangrad M. Parsa-Moghaddam
        Evaluation of long-term home electrical appliance efficiency improvement scenarios on load and energy pattern needs comprehensive and precise modeling taking to account a variety of uncertainties. In the modeling process, all effective parameters should be considered. E More
        Evaluation of long-term home electrical appliance efficiency improvement scenarios on load and energy pattern needs comprehensive and precise modeling taking to account a variety of uncertainties. In the modeling process, all effective parameters should be considered. Estimation is the main source of information in this process which is a long-term large scale impact assessment procedure. Furthermore, the non homogeneous structure of load behavior in response to DSM policies makes the problem more sophisticated. The presented method implies fuzzy numbers to model the main uncertainties of the demand side reactions to the proposed DSM program. Here, the social classes of customers and their behaviors regarding energy utilization as well as time dependency of the problem parameters are taken into account. The paper focuses on the efficiency improvement of the electric appliances in Iran as a long-term DSM program, due to their considerable share in electricity consumption in residential sector. Finally, the numerical results are presented. Manuscript profile
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        84 - An Intelligent BGSA Based Method for Feature Selection in a Persian Handwritten Digits Recognition System
        N. Ghanbari S. M. Razavi S. H. Nabavi Karizi
        In this paper, an intelligent feature selection method for recognition of Persian handwritten digits is presented. The fitness function associated with the error in the Persian handwritten digits recognition system is minimized, by selecting the appropriate features, us More
        In this paper, an intelligent feature selection method for recognition of Persian handwritten digits is presented. The fitness function associated with the error in the Persian handwritten digits recognition system is minimized, by selecting the appropriate features, using binary gravitational search algorithm. Implementation results show that the use of intelligent methods is well able to choose the most effective features for this recognition system. The results of the proposed method in comparison with other similar methods based on genetic algorithm and binary particle method of optimizing indicates the effective performance of the proposed method. Manuscript profile
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        85 - Designing Optimal Fuzzy Classifier Using Particle Swarm Optimization
        Seyed-Hamid Zahiri
        An important issue in designing a fuzzy classifier is setting its structural and mathematical fuzzy parameters (e.g., number of rules, antecedents, consequents, types and locations of membership functions). In fact, the variations of these parameters establish a wide More
        An important issue in designing a fuzzy classifier is setting its structural and mathematical fuzzy parameters (e.g., number of rules, antecedents, consequents, types and locations of membership functions). In fact, the variations of these parameters establish a wide range high dimensional search space, which makes heuristic methods some suitable candidates to solve this problem (designing optimal fuzzy parameters). In this paper, a method is described for this purpose. In presented technique, all fuzzy parameters of a fuzzy classifier, are interpreted in structure of particles and PSO algorithm is employed to find the optimal one. Extensive experimental results on well-known benchmarks and practical pattern recognition problem (automatic target recognition) demonstrate the effectiveness of the proposed method. Manuscript profile
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        86 - Implementation of a Fuzzy Multi-Agent Model for City Evacuation Traffic Management Using Probabilistic Automata
        A. R. Karbaschian Saeed Setayeshi arash Sharifi
        Because of importance of quickly city evacuation during natural or unnatural happenings, it’s essential to apply an optimized control policy to prevent congestion and stop of vehicles. Existing works for traffic management in critical conditions have paid little attenti More
        Because of importance of quickly city evacuation during natural or unnatural happenings, it’s essential to apply an optimized control policy to prevent congestion and stop of vehicles. Existing works for traffic management in critical conditions have paid little attention to artificial intelligence approaches. Therefore, the main goal of authors in this research is offering an optimized and intelligent control policy for city evacuation traffic. This policy uses fuzzy inference system for decision making of each agent and probabilistic automata for optimizing performance of agents as for their preferences during time. To check degree of success of offered control policy, Agent Base Simulation in RStudio and Netlogo environments have been implemented using RNetlogo and frbs packages in R language. Simulation results show traffic load distribution, using maximum capacity of roads and congestion prevention by suggested policy. With regard to communication technologies such as GPS, smart phones, automatic tax payment systems in roads and … that have been developed in recent years, it is also possible to implement suggested critical traffic control policy in real world. Manuscript profile
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        87 - Topology Control in Wireless Sensor Networks Using Two-Level Fuzzy Logic
        A. Abdi Seyedkolaei A. Zakerolhosseini
        Wireless sensor networks are a new generation of networks that from sensors uses to get information about itself environment and communication this sensors is as wireless. One of the issues that is very important in wireless sensor networks is Discussion reducing energy More
        Wireless sensor networks are a new generation of networks that from sensors uses to get information about itself environment and communication this sensors is as wireless. One of the issues that is very important in wireless sensor networks is Discussion reducing energy consumption and increasing network lifetime. Topology control is one of the methods to reduce energy consumption and increase the lifetime of the network. Since different methods of topology control, to reduce energy consumption and enhance the network lifetime is proposed that including them is the clustering and one of the most famous clustering methods is LEACH. In this paper, we try to present a new clustering method that is superior compared to leach and other improved methods after the LEACH. we use in our clustering method from two-level fuzzy logic that be causing reduce energy consumption and increase the network lifetime compared to other methods and to prove the superiority of our method compared with other methods, we present a comparison using MATLAB software. Manuscript profile
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        88 - Learners Grouping in Adaptive Learning Systems Using Fuzzy Grafting Clustering
        M. S. Rezaei Gh. A. Montazer
        Quality of adaptive and collaborative learning systems is related to appropriate specifying learners and accuracy of separation learners in homogenous and heterogeneous groups. In the proposed method for learners grouping, researchers effort to improving basic clusterin More
        Quality of adaptive and collaborative learning systems is related to appropriate specifying learners and accuracy of separation learners in homogenous and heterogeneous groups. In the proposed method for learners grouping, researchers effort to improving basic clustering methods by combination of them and improving methods. This work makes the complexity of grouping methods increased and quality of result’s groups decreased. In this paper, new method for selection appropriate clusters based on fuzzy theory is proposed. In this method, each cluster is defined as a fuzzy set and the corresponding clusters are determined. So the best cluster is selected among each corresponding clusters. The results of an empirical evaluation of the proposed method based on two criteria: “Davies-Bouldin” and “Purity and Gathering” indicate that this method has better performance than other clustering methods such as FCM, K-means, hybrid clustering method (HCM), evolutionary fuzzy clustering (EFC) and ART neural network. Manuscript profile
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        89 - Evaluation of Fuzzy-Vault-based Key Agreement Schemes in Wireless Body Area Networks Using the Fuzzy Analytical Hierarchy Process
        M. Ebrahimi H. R. Ahmadi M. Abbasnejad Ara
        Wireless body area networks (WBAN) may be deployed on each person’s body for pervasive and real time health monitoring. As WBANs deal with personal health data, securing the data during communication is essential. Therefore, enabling secure communication in this area ha More
        Wireless body area networks (WBAN) may be deployed on each person’s body for pervasive and real time health monitoring. As WBANs deal with personal health data, securing the data during communication is essential. Therefore, enabling secure communication in this area has been considered as an important challenge. Due to the WBAN characteristics and constraints caused by the small size of the nodes, selection of the best key agreement scheme is very important. This paper intends to evaluate different key agreement schemes in WBANs and find the best one. To achieve this goal, three schemes from existing research named OPFKA, PSKA and ECG-IJS are considered and a fuzzy analytical hierarchy process (FAHP) method is employed to find the best scheme. Manuscript profile
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        90 - Estimation of Causality Coefficients in Strategy Maps Using Gravitational Search-Based Learning of Fuzzy Cognitive Maps
        A. Jahanbeigi A. Jahanbeigi M. Rohani
        More than two decades ago, the balanced scorecard method was proposed to control and monitor the strategy of organizations. The most important outcome of this method is the strategy map. The causal relations among strategic goals (SGs) are established in this map which More
        More than two decades ago, the balanced scorecard method was proposed to control and monitor the strategy of organizations. The most important outcome of this method is the strategy map. The causal relations among strategic goals (SGs) are established in this map which can help managers in decision making process. To have a precise strategy map, it is necessary to estimate the strengths of each causal relation correctly. So, the estimation of causal coefficients has attracted research interest in forming strategy maps. In this way, DEMATEL and Delphi are two well-known methods that are based on the experts’ opinion. However, these opinions are not exact in the complex business fields; so, the computational intelligence (CI) algorithms have been employed for more precise estimation of causality coefficients. In this study, the relations among SGs and their coefficients have been provided by the experts of a banking institution as the input of the proposed method. The main purpose of this study is to improve the precision of causal coefficients using a CI-based algorithm. For this purpose, the strategy map is decomposed into multiple fuzzy cognitive maps (FCMs) and then, the gravitational search algorithm (GSA) is employed for FCM training. In this way, two objective functions are used for determining the optimal value of causality coefficients. The first objective function is employed for reducing error in the prediction of SG realization percentages. The second objective function keeps causal coefficients in the intervals determined by the experts. Experimental results show that the total error of proposed model is lower than the expert-based model. In addition, GSA performs better than the following algorithms in finding the global optimum point in this real-world case study: particle swarm optimization and ant colony optimization. Manuscript profile
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        91 - A Proposed Method of Decentralized Load Balancing Algorithm in Heterogeneous Cloud Environments
        S. Hourali S. Jamali F. Hourali
        One of the key strategies to improve the efficiency is load balancing. Choosing the appropriate VM to do any task, is function of various parameters such as the amount of required resources like CPU, memory, the size of VM resource, cost and maturity of VMs. In this pap More
        One of the key strategies to improve the efficiency is load balancing. Choosing the appropriate VM to do any task, is function of various parameters such as the amount of required resources like CPU, memory, the size of VM resource, cost and maturity of VMs. In this paper, by considering each of these criteria and design objectives such as load balancing, reducing the rate of create new VM, and VM migration, we modeling the problem in terms of effective parameters in performance. Then, we solving this model by using the PROMETHEE method, which is one of the most widely used method for MADM problems. In this method, selecting the best VM occurs based on the value assigned to each of criteria which is calculated based on fuzzy logic. To evaluate the performance of this approach, the necessary simulations have been carried out on CloudSim simulator and shown that the proposed method has better performance compared to FIFO, DLB and WRR methods on average in terms of response time, rate of success tasks, load variation and rate of VM migration. Manuscript profile
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        92 - Classification and Phishing Websites Detection by Fuzzy Rules and Modified Inclined Planes Optimization
        M. Abdolrazzagh-Nezhad
        One of the most important factors influencing the development of information technology on internet is steal the customer information. This security threat is known as phishing. With regarding to review and analysis of the published methods, lake of create the flexibili More
        One of the most important factors influencing the development of information technology on internet is steal the customer information. This security threat is known as phishing. With regarding to review and analysis of the published methods, lake of create the flexibility to effective attribute selection in the procedure of phishing websites detection, non- dynamic behavior of classification algorithm on target websites and also no attention to reduce the amount of computation for the large number of websites are the main gaps of these methods. To achieve the above-mentioned objectives, a new dynamic mechanism is planned to flexible attribute reduction based on designing threshold change of assessment in this paper. Then inclined planes optimization algorithm is memorized based soft reducing the effect of the embedded memory though high iterations and 12 fuzzy rules are defined in a fuzzy inference system for intelligent dynamiting the algorithm. The experimental results of the proposed intelligent algorithm and the comparison the algorithms with the best available algorithms; demonstrate the ability of the modified inclined planes optimization algorithm to detect phishing websites and satisfy the above mentioned objectives. Manuscript profile
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        93 - Symbolic Verification of Temporal Fuzzy Logic Properties on Fuzzy Program Graph
        G. Sotudeh A. Movaghar
        We may investigate the correctness of dynamic fuzzy models by a combination of Modal Temporal Logics and Fuzzy Logic. So far Fuzzy-extended Kripke structure (FzKripke) and Fuzzy-extended Program Graph (FzPG) are introduced as two timed Fuzzy logic models. Meanwhile, a F More
        We may investigate the correctness of dynamic fuzzy models by a combination of Modal Temporal Logics and Fuzzy Logic. So far Fuzzy-extended Kripke structure (FzKripke) and Fuzzy-extended Program Graph (FzPG) are introduced as two timed Fuzzy logic models. Meanwhile, a Fuzzy-extended Temporal Logic (FzCTL) is introduced. Although no verification technique is devised for verifying FzCTL properties of timed Fuzzy logic models, its applications in verification of Fuzzy Logic Circuits (i.e., Fuzzy Flip-Flops) are studied and elaborated. In this paper we introduce a symbolic approach to tackle the state space explosion problem in timed Fuzzy logic models with which models are simultaneously compressed and processed in the most compact representation possible yet. The applicability of this approach is also demonstrated through experiments on a case study concerning dynamic hazards in a Fuzzy D-Flip Flop. Performance measures like runtime and memory consumptions are also provided for different scenarios. Manuscript profile
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        94 - Web Robot Detection Using Fuzzy Rough Set Theory
        S. Rahimi J. Hamidzadeh
        Web robots are software programs that traverse the internet autonomously. Their most important task is to fetch information and send it to the origin server. The high consumption of network bandwidth by them and server performance reduction, have caused the web robot de More
        Web robots are software programs that traverse the internet autonomously. Their most important task is to fetch information and send it to the origin server. The high consumption of network bandwidth by them and server performance reduction, have caused the web robot detection problem. In this paper, fuzzy rough set theory has been used for web robot detection. The proposed method includes 4 phases. In the first phase, user sessions have identified using fuzzy rough set clustering. In the second phase, a vector of 10 features is extracted for each session. In the third phase, the identified sessions are labeled using a heuristic method. In the fourth phase, these labels are improved using fuzzy rough set classification. The proposed method performance has been evaluated on a real world dataset. The experimental results have been compared with state-of-the-art methods, and show the superiority of the proposed method in terms of F-measure. Manuscript profile
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        95 - Transmission Expansion Planning in a Deregulated Power System Using Multiobjective Differential Evolution Algorithm
        f. rashidi
        Transmission lines are widely used for transferring electrical energy from power plants to loads, interconnecting load centers and improving reliability of power systems. Due to recent society developments, the need for electrical energy has increased which in turn requ More
        Transmission lines are widely used for transferring electrical energy from power plants to loads, interconnecting load centers and improving reliability of power systems. Due to recent society developments, the need for electrical energy has increased which in turn requires more investment in constructing additional electrical transmission lines. Power system restructuring and deregulation has increased uncertainties in transmission expansion planning and made investment in electrical transmission lines more complicated and less appealing for private parties. This paper proposes a new approach for transmission line expansion planning in deregulated networks. To do that, a multi objective programming problem which consists of various objective functions such as minimizing capital investment for constructing new transmission lines, minimizing congestion in transmission lines and maximizing the investment from private parties is suggested such that access to competitive, economic and reliable energy market is facilitated. To solve the proposed multi objective optimization problem, the Pareto differential evolution algorithm is used. Applying this algorithm to the proposed multi objective programming problem generates set of optimal plans that shows the best compromise between objective functions. The final plan, among the generated plans, is selected using a max-min fuzzy decision making. The proposed method is applied on the IEEE 24 bus test system and effectiveness of the proposed method is verified. Manuscript profile
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        96 - A Cloud-based Learnable Agent-oriented Approach to Control and improve Pacemaker Operation
        H. Banki نگار مجمع A. Monadjemi
        This paper aims to present a cloud-based learning agent-oriented approach for verification of the pacemaker behavior by monitoring and heart rate adjustment of an arrhythmic patient. In case of the pacemaker failure or inappropriate heart rate generation, the patient is More
        This paper aims to present a cloud-based learning agent-oriented approach for verification of the pacemaker behavior by monitoring and heart rate adjustment of an arrhythmic patient. In case of the pacemaker failure or inappropriate heart rate generation, the patient is put at risk. Using the proposed approach, one can directs the pacemaker rate to correct one when it is incorrect. Using a learnable software agent, the proposed approach is able to learn un-predefined situations and operates accordingly. The proposed approach is cloud based meaning that it sends a message through cloud in case of a critical situation. After determining the patient heart rate by pacemaker, the proposed method verifies this rate against the predefined physician suggestion and automatically corrects it based on a reinforcement learning mechanism if there is some conflict. The proposed method was implemented and installed on a tablet as a patient mobile device for monitoring the pacemaker implanted in the patient chest. The contrast between results of our approach and expected results existing in the dataset showed our approach improved the pacemaker accuracy until 13.24%. The use of the software agent with reinforcement learning is able to play a significant role in improving medical devices in case of critical situations. Manuscript profile
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        97 - Torque Ripple Reduction Technique in SRM for Low Speed Range by Employing Fuzzy Logic for Dynamic Controlling of TSF
        H. Moradi Cheshmeh-Beigi E.  Nouri
        In this paper, in order to reduce torque ripple for low speed range in non-commutation region, instead of exciting by a DC current, a adjustable current according to rotor position is injected. Also, to reduce torque ripple in commutation region the modified torque shar More
        In this paper, in order to reduce torque ripple for low speed range in non-commutation region, instead of exciting by a DC current, a adjustable current according to rotor position is injected. Also, to reduce torque ripple in commutation region the modified torque sharing function (TSF) method has been used. In the proposed method, TSF is modified by a feedback from the motor speed and applying it to a fuzzy controller according to speed value. In the proposed method, motor speed, torque error, and torque error derivative are used as fuzzy controller inputs, which Turn-On and overlap angles between the phases are changed as a function of motor speed. Also reference torque of adjacent phase is modified as a function of torque error and torque error derivative. In this method, TSF is modified dynamically and momentary. The exact simulation based on Matlab/Simulink for a 3-phase 6/4 SRM are carried out to verify the effectiveness of the proposed novel method for 0 to 1500rpm speed range. Manuscript profile
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        98 - Close Loop Identification for Combustion System by Recurrent Adaptive Neuro-Fuzzy Inference System and Network with Exogenous Inputs
        E. Aghadavoodi G. Shahgholian
        Boiler-turbine is a multi-variable and complicated system in steam power plants including combustion, temperature and drum water level. Selecting control loops as a unique loop in order to identify and control the boiler as a whole unit is a difficult and complicated ta More
        Boiler-turbine is a multi-variable and complicated system in steam power plants including combustion, temperature and drum water level. Selecting control loops as a unique loop in order to identify and control the boiler as a whole unit is a difficult and complicated task, because of nonlinear time variant dynamic characteristics of the boiler. It is necessary to identify each control group in order to accomplish a realistic and effective model, appropriate for designing an efficient controller. Both the effective and efficient performance of the identified model during the load change is of major importance. Here, not all parts of the system should be considered as a unit part, if determining and effective and realistic model is sought. The combustion loop of the 320 MW steam power plant of Islam Abad, Isfahan is the subject. Due to the sensitivity and complexity of the system, with respect to its nonlinear and closed loop characteristics, the identification of the system is conducted through intelligent procedures like recurrent adaptive neuro-fuzzy inference system (RANFIS) and nonlinear autoregressive model with exogenous input (NARX). The comparisons of the findings with actual data collected from the plant are presented and the accuracy of the procedures is determined. Manuscript profile
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        99 - Priority-Based Task Scheduling Using Fuzzy System in Mobile Edge Computing
        Entesar Hosseini Mohsen Nickray SH. GH.
        Mobile edge computing (MEC) are new issues to improve latency, capacity and available resources in Mobile cloud computing (MCC). Mobile resources, including battery and CPU, have limited capacity. So enabling computation-intensive and latency-critical applications are i More
        Mobile edge computing (MEC) are new issues to improve latency, capacity and available resources in Mobile cloud computing (MCC). Mobile resources, including battery and CPU, have limited capacity. So enabling computation-intensive and latency-critical applications are important issue in MEC. In this paper, we use a standard three-level system model of mobile devices, edge and cloud, and propose two offloading and scheduling algorithms. A decision-making algorithm for offloading tasks is based on the greedy Knapsack offloading algorithm (GKOA) on the mobile device side, which selects tasks with high power consumption for offloading and it saves energy consumption of the device. On the MEC side, we also present a dynamic scheduling algorithm with fuzzy-based priority task scheduling (FPTS) for prioritizing and scheduling tasks based on two criteria. Numerical results show that our proposed work compared to other methods and reduces the waiting time, latency and system overhead. Also, provides the balance of the system with the least number of resources. And the proposed system reduces battery consumption in the smart device by up to 90%. The results show that more than 92% of tasks are executed successfully in the edge environment. Manuscript profile
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        100 - Robust Optimal Stable Fuzzy Controller Design for Stabilization of Electric Vehicle Speed, in Presence of Parametric Uncertainties and External Disturbances
        Mohammad Veysi M. Shasadeghi M. R. Soltanpour
        In electric vehicle’s nonlinear dynamic equations, some parameters has uncertainty such as the coefficient of rolling resistance, drag coefficient, armature resistance and field winding resistance. Design of a controller that is robust in the presence of these parametri More
        In electric vehicle’s nonlinear dynamic equations, some parameters has uncertainty such as the coefficient of rolling resistance, drag coefficient, armature resistance and field winding resistance. Design of a controller that is robust in the presence of these parametric uncertainties and also in presence of external disturbances, and on the other hand simultaneously satisfies the optimality criteria, is a challenging issue. In practical applications, in addition to the above problem, the computational load of the control input should also be considered and provide a rational interaction between the controller's desirable performance and the calculations volume. In the present paper, a robust optimal stable fuzzy controller based on the parallel distributed compensation is designed, using Takagi-Sugeno fuzzy model of electric vehicle. The stabilizer feedback gains of fuzzy model, the upper bound of the uncertainties, the upper bound of the disturbances effect, and the upper bound of the cost function are obtained completely offline, through the solving of a minimization problem based on the linear matrix inequality. Therefore, the calculation volume of the control input is extremely low. This allows the practical implementation of the proposed controller. The favorable performance of the proposed controller is demonstrated in five-step simulations. Manuscript profile
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        101 - Space Time Code Design in Phased-MIMO Radars to Achieve High Resolution in Board and Velocity
        Roholah Vahdani Hossein Khaleghi Mohsen Fallah Joshaghani
        In this paper, space-time codes for MIMO radar are used to achieve high resolution at target range and speed. The two-dimensional ambiguity function is known as a tool to compare radar performance in terms of resolution. A space-time code can be designed based on minimi More
        In this paper, space-time codes for MIMO radar are used to achieve high resolution at target range and speed. The two-dimensional ambiguity function is known as a tool to compare radar performance in terms of resolution. A space-time code can be designed based on minimizing the distance between the actual target parameters in range, speed and angle. For this purpose, high resolution can be achieved by analyzing the ambiguity function and narrowing it down as much as possible. In this paper, the ambiguity function with two variables of amplitude and speed mismatch is considered and a new criterion to achieve high resolution performance in this field is proposed. In this case, by optimizing the proposed cost functions, the optimal space-time code is extracted. The proposed design can also be extended to phased-MIMO radar. The simulation results also show that our proposed scheme has a very narrow ambiguity function around the origin, while it has a performance very close to the optimal state in terms of target identification probability. Manuscript profile
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        102 - An Efficient Approach to Reduce Energy Consumption in Internet of Things Routing
        M. Asgari M. Fathy Mohammad Shahverdy M. Soheili Nayer
        The Internet of Things (IOT) is a new concept in the area of monitoring information transmission and remote control of things, existents and equipment that has been able to adapt itself with different industries and substructures easily. The information transmission wit More
        The Internet of Things (IOT) is a new concept in the area of monitoring information transmission and remote control of things, existents and equipment that has been able to adapt itself with different industries and substructures easily. The information transmission with regard to the non-homogenous environment of internet of things has been a challengeable topic and use of routing methods by considering the limitations of processing, calculating, saving and communicating has been known as a necessary issue. Various algorithms with special applications have been already introduced in the domain of internet of things and wireless sensor networks that each one somehow has been successful in achieving the routing goals. Some proposed protocols in this field have used a tree structure for gathering the network information. These methods in selecting the parent or children of graph are affected by important challenges depending on the type of application. In this paper, at first, a general classification of advantages and defects of recent methods has been done in the domain of routing the internet of things and then a routing method service quality awareness in routing based on fuzzy system has been suggested. The results of simulations and assessment express that the suggested method in the tests of energy productivity, delay ratio and data delivery ratio have better performance than the recent methods. Manuscript profile
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        103 - Feature Selection and Cancer Classification Based on Microarray Data Using Multi-Objective Cuckoo Search Algorithm
        kh. Kamari f. rashidi a. Khalili
        Microarray datasets have an important role in identification and classification of the cancer tissues. In cancer researches, having a few samples of microarrays in cancer researches is one of the most concerns which lead to some problems in designing the classifiers. Mo More
        Microarray datasets have an important role in identification and classification of the cancer tissues. In cancer researches, having a few samples of microarrays in cancer researches is one of the most concerns which lead to some problems in designing the classifiers. Moreover, due to the large number of features in microarrays, feature selection and classification are even more challenging for such datasets. Not all of these numerous features contribute to the classification task, and some even impede performance. Hence, appropriate gene selection method can significantly improve the performance of cancer classification. In this paper, a modified multi-objective cuckoo search algorithm is used to feature selection and sample selection to find the best available solutions. For accelerating the optimization process and preventing local optimum trapping, new heuristic approaches are included to the original algorithm. The proposed algorithm is applied on six cancer datasets and its results are compared with other existing methods. The results show that the proposed method has higher accuracy and validity in comparison to other existing approaches and is able to select the small subset of informative genes in order to increase the classification accuracy. Manuscript profile
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        104 - Propose a Proper Algorithm for Incremental Learning Based on Fuzzy Least Square Twin Support Vector Machines
        Javad Salimi Sartakhti Salman Goli
        Support Vector machine is one of the most popular and efficient algorithms in machine learning. There are several versions of this algorithm, the latest of which is the fuzzy least squares twin support vector machines. On the other hand, in many machine learning applica More
        Support Vector machine is one of the most popular and efficient algorithms in machine learning. There are several versions of this algorithm, the latest of which is the fuzzy least squares twin support vector machines. On the other hand, in many machine learning applications input data is continuously generated, which has made many traditional algorithms inefficient to deal with them. In this paper, for the first time, an incremental version of the fuzzy least squares twin support vector algorithm is presented. The proposed algorithmis represented in both online and quasi-online modes. To evaluate the accuracy and precision of the proposed algorithmfirst we run our algorithm on 6 datasets of the UCI repository. Results showthe proposed algorithm is more efficient than other algorithms (even non-incremental versions). In the second phase in the experiments, we consider an application of Internet of Things, and in particular in data related to daily activities which inherently are incremental. According to experimental results, the proposed algorithm has the best performance compared to other incremental algorithms. Manuscript profile
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        105 - Improving Energy Consumption in Wireless Sensor Networks Using Shuffled Frog Leaping Algorithm and Fuzzy Logic
        Shayesteh Tabatabaey
        Wireless sensor networks consist of thousands of sensor nodes with limited energy. Energy efficiency is a fundamental challenge issue for wireless sensor networks. Clustering sensor nodes in separate categories and exchanging information through clusters is one of the w More
        Wireless sensor networks consist of thousands of sensor nodes with limited energy. Energy efficiency is a fundamental challenge issue for wireless sensor networks. Clustering sensor nodes in separate categories and exchanging information through clusters is one of the ways to improve energy consumption. This paper presents a new cluster-based routing protocol called SFLCFBA. The proposed protocol biologically uses fast and effective search features inspired by the Shuffled Frog Leaping algorithm, which acts based on the Frog food behavior to cluster sensor nodes. The proposed protocol also uses fuzzy logic to calculate the node fitness, based on the two criteria of distance to the sink and the remaining energy of the sensor node or power of battery level. IEEE 802.15.4 Protocol and NODIC Protocol with the proposed methodology and OPNET Simulator were simulation and the results in terms of energy consumption, end to end delay, signal to noise ratio, the success property data and throughput were compared with each other. The results of the simulation showed that the proposed method outperforms the IEEE 802.15.4 Protocol and NODIC Protocol due to the use of the criteria listed. Manuscript profile
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        106 - A Hybrid Long-Term Probabilistic Net Load Forecasting Approach Considering Renewable Energies Power in Smart Grids
        Mohsen  Jahantigh majid moazzami
        With the growth and integration of distributed generation resources in smart grids, net load forecasting is of significant importance. A hybrid optimization method is proposed in this paper for probabilistic net load forecasting using neighborhood component analysis and More
        With the growth and integration of distributed generation resources in smart grids, net load forecasting is of significant importance. A hybrid optimization method is proposed in this paper for probabilistic net load forecasting using neighborhood component analysis and solving regression problem with the aid of mini-batch LBFGS method. Net load forecasting is suggested in this paper trough forecast combination via adaptive network-based fuzzy inference system. The structure includes a combination of several long-term forecasts, including forecasts of load, the generation of a solar station, and the generation of a wind farm with wind turbines equipped with doubly-fed induction generator. Also, the net load forecasting and the relationship between errors of load, wind and solar predictions are studied in this paper. The simulation results of the proposed method and its comparison with Tao and quantile regression models show that mean absolute percentage error of load forecasting, and the forecasts of solar and wind generations improved by 0.947%, 0.3079% and 0042%, respectively which result to a decrease in net load forecasting error. Manuscript profile
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        107 - Design and Implementation of Fuzzy Sliding Mode Controller for Motion Control of an Electric Shake Table Using Adaptive Extended Kalman Filter
        Nima rajabi Ramazan Havangi
        In this paper, Design of a fuzzy sliding mode controller (FSMC) with adaptive extended Kalman filter (AEKF) for controlling a shake table system with electric actuator and ball-screw mechanism. Due to the uncertainties regarding the model parameters and the noise of the More
        In this paper, Design of a fuzzy sliding mode controller (FSMC) with adaptive extended Kalman filter (AEKF) for controlling a shake table system with electric actuator and ball-screw mechanism. Due to the uncertainties regarding the model parameters and the noise of the data of the two encoder and accelerometer sensors, there are many problems in controlling this system. Therefore, it is crucial to employ a non-precise model-based controller and a nonlinear adaptive filter. The fuzzy sliding mode control and Extended Kalman filter are a good way to control this system. In sliding mode control, chattering at the control input is inevitable. In this paper, a simple fuzzy inference mechanism is used to reduce the undesirable phenomenon of chattering by correctly estimating the upper bound of uncertainty. In the following, a recursive method is used to determine the system and measurement noise covariance matrices. The data of the two encoder and accelerometer sensors are combined in the adaptive extended Kalman filter and the results in noise elimination and parameter estimation are investigated. Linear speed feedback available through the Kalman filter is used to stabilize and control the closed loop system. The end is examined to check the performance of the control structure provided by the seismic table test. The results show that the proposed method is very effective. Manuscript profile
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        108 - Detector Design & Power Allocation of Frequency Diverse Phased Multi Input Multi Output Radar within Nonhomogeneous Environments
        Hamid Reza  Fotoohi Firouzabad Seyed Mehdi Hosseini Andargoli Hossein  Ghanei Yakhdan J. Abouei
        In recent years, Phased-Multiple-Input, Multiple-Output radars (PMRs) have attracted great interest. PMR can combine the advantages of both MIMO radar and phased array radar. Here, PMR transmits orthogonal signals from all subarrays to provide both waveform frequency di More
        In recent years, Phased-Multiple-Input, Multiple-Output radars (PMRs) have attracted great interest. PMR can combine the advantages of both MIMO radar and phased array radar. Here, PMR transmits orthogonal signals from all subarrays to provide both waveform frequency diversity and high coherent processing gain. In this paper dealt with detector design in the presence of heterogeneous clutter based on the unknown scattering coefficients for PMR. Then, detection probability and false-alarm probability are computed based on the derived optimum detector. At the end, the power allocation problem is investigated analytically. The numerical simulations show that obtained optimal detector is joint spatial-temporal filter, which, the clutters are effectively weakened in PMR. Furthermore, simulation results illustrate that proposed power allocation algorithm improve detection performance of PMR in comparison with PR and equal power PMR. Manuscript profile
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        109 - Studying and Prioritizing Effective Factors on Succession Planning Success in Banking Industry Using Multi-Criteria Decision Making Methods (Case Study: Refah Bank)
        Behrooz Ghlichlee Shahram Mashoufi Saeed Ghahremani
        The purpose of this research is to study and prioritize factors which are effective on succession planning success in banking industry. This is an applied and descriptive research. Statistical sample of research is 15 persons including Refah Bank managers and experts. D More
        The purpose of this research is to study and prioritize factors which are effective on succession planning success in banking industry. This is an applied and descriptive research. Statistical sample of research is 15 persons including Refah Bank managers and experts. Data gathering was done by Delphi method, asking experts’ opinions. Opinions were gathered by a researcher-made questionnaire including factors affecting the success of succession planning. After that, data were analyzed using Spss and Excel software and also fuzzy TOPSIS method for prioritizing factors, which is one of the multi-criteria decision making methods. Results showed that “support and participation of senior managers” and “justice” are the most important factors in the success of succession planning with the approach of assessment and development center. Manuscript profile
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        110 - Designing a Hybrid Model Based on Mick McFuzzy Approaches and Network Analysis Process to Evaluate the Indicators of Coaching Competencies in Tejarat Bank
        Seyedeh Zobeideh Falaki Kolori Sirous Tadbiri Ali Reza Afsharnejad Maryam Majidi
        10.52547/istd.31344.8.30.334
        by using coaching skills. However, there is no research or literature on which of the factors of coaching competencies will provide the greatest improvement in individual and organizational performance for these organizations, especially banks. The present study, which More
        by using coaching skills. However, there is no research or literature on which of the factors of coaching competencies will provide the greatest improvement in individual and organizational performance for these organizations, especially banks. The present study, which is an applied development in terms of purpose or orientation, in order to meet this challenge, comprehensively and systematically all the indicators that are effective in the field of coaching competencies through documentary study and using fuzzy Delphi method and Opinion of 10 experts Identifying and using interpretive structural modeling / Mick McFuzzy approach to regulate and direct the complexity of relationships between indicators and network analysis process method to identify indicators that improve performance in the field The coaching skills they bring to Tejarat Bank were exploited. The results showed that the "coaching mindset" cluster is more important and influential in the coaching competency indicators in Tejarat Bank than the other clusters and the "long-term performance enthusiasm" index. Manuscript profile
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        111 - Providing a Model of Workforce Development and Agility Using a Mixed Method of Meta-Analysis and Fuzzy DEMATEL in Maskan Bank of Iran
        Ali Aali Mohammad Zia Al Dini mostafa hadavinejad
        10.52547/istd.31473.8.31.20
        The aim of this research is to identify the antecedents and components of workforce development and agility and also to offer a mixed model of meta-analysis and Fuzzy DEMATEL method in Maskan Bank. Workforce agility development antecedents of quantitative studies were e More
        The aim of this research is to identify the antecedents and components of workforce development and agility and also to offer a mixed model of meta-analysis and Fuzzy DEMATEL method in Maskan Bank. Workforce agility development antecedents of quantitative studies were extracted by Meta –Analysis. Then the effect size of antecedents (consequent of components) was calculated by CMA3 software. 3 out of 19 identified antecedents, were obtained with the effect size equal or greater than 0.5. The 3 antecedents include the intertwinement and the relationship between training and the system of recruitment and employment, the use of experts in training and development, and the pay and reward system. Afterwards the first questionnaire was given to experts for reviewing and screening the qualitative components as well as the components of interview. In the last phase acquired components of 3 antecedents with others acquired components of the first questionnaire were sent to experts via the second questionnaire. According to this, 4 components including "organizational intelligence", "low formalization," “perceptual skills” and "creative problem solving" had the most impact on other components. Components of “promptitude”, “organizational commitment”, “accountability” and “flexibility”, were the most influential components identified. In terms of the importance, “Adaptability” was identified as the most important component and “proactivity” was identified as the least important one. Manuscript profile
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        112 - Factors Influencing the Selection of Human Capital Compatible with the Fourth Generation Industrial Revolution Using Fuzzy DEMATEL Method
        mohammad amin  aeiny
        The present study has a three-dimensional purpose, which is: First, to identify new criteria for selecting employees in the fourth generation industrial environment. Second; Prioritize and identify causal relationships between these criteria. Third, contribute to the op More
        The present study has a three-dimensional purpose, which is: First, to identify new criteria for selecting employees in the fourth generation industrial environment. Second; Prioritize and identify causal relationships between these criteria. Third, contribute to the operations management literature by focusing on the recruitment process and supporting human resource activities according to industry-related criteria of the fourth generation. The type of research is applied and descriptive-causal research method and has been done in knowledge-based companies with advanced technology. The statistical population consisted of 5 experts from the relevant companies who were responsible for making changes in order to adapt to the fourth generation industrial revolution in their company. The fuzzy DEMATEL approach has been used to conduct the research. Based on the findings, eleven critical factors influencing the selection of labor in the fourth generation industrial environment were identified, the most important of which, in order of priority, include; Ability to deal with complexity and problem solving, thinking about overlapping processes, and flexibility to adapt to new plans and work environments. In addition, the results indicate the existence of causal factors in descending order, including: information technology and technology production, awareness of information technology security and information protection, the ability to resolve work crises and how to combine relevant knowledge and use it in a job or They are a special process. Outcome factors also include; Flexibility to adapt to new plans and work environments, high analytics and perceptual skills, ability to communicate with new intermediaries, ability to deal with complexity and problem solving, thinking about overlapping processes, continuous interdisciplinary learning and collaboration, and confidence in new technologies and readiness for change Are. Manuscript profile
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        113 - Neural-Fuzzy Network and Z-Source Converter Adaptive Controller for Control the Power of the Hybrid Network Consisting of Doubly-Fed Induction Generator and Solar Cel
        ali akbar habibi borzou yousefi abdolreza noori shirazi Mohammad rezvani
        Renewable energies outfitted with low latency assets as wind turbines and photovoltaic exhibits give significant adverse consequences through power framework dynamic protections. For this issue, in view of fostering a high voltage direct current (HVDC) interface, a vers More
        Renewable energies outfitted with low latency assets as wind turbines and photovoltaic exhibits give significant adverse consequences through power framework dynamic protections. For this issue, in view of fostering a high voltage direct current (HVDC) interface, a versatile Neuro-Fuzzy-based damping regulator is introduced in this paper for working on unique execution of low inertia resources associated with power frameworks. The created power framework comprises of various age sources including seaward and inland wind turbines (WTs), photovoltaic exhibits (PVs) and limited doubly fed induction generators (DFIGs) which are incorporated together through an interconnected framework. For this situation, thinking about various functional and innovative conditions, damping execution of proposed ANFIS plot is assessed. The proposed plot is a non-model-based regulator which utilizes the benefits of both neural and fluffy rationales together for giving a quick and secure design of damping regulator through continuous recreations. To research ANFIS plot through genuine cases, considering a commonplace microgrid comprises of various low-latency assets (for example WT, PV, DFIG), the framework damping exhibitions through hamper occasions are assessed. Recreation results demonstrate viability and effectiveness of the proposed plot for damping dynamic motions of low inertia resources with high damping proportions with respect to extreme issue occasions. Manuscript profile
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        114 - Designing an Integrated Development Model for Electronic Banking Services Innovation Based on Dynamic Capabilities Using Fuzzy MICMAC
        Ali Etemadifard kamal tabaeian Nazanin  Pilevari Abbas  Khamseh
        Today, the competitive environment of banks, especially in the field of electronic banking services, is changing drastically, and service innovation has become very important and vital for service companies to increase their resources and dynamic organizational capabili More
        Today, the competitive environment of banks, especially in the field of electronic banking services, is changing drastically, and service innovation has become very important and vital for service companies to increase their resources and dynamic organizational capabilities in order to increase innovation in banking services. Despite this importance, insufficient studies have been conducted on innovation in some of the country's service industries (such as the electronic banking industry). The purpose of this study is to identify indicators and sub-indicators of e-banking service innovation based on dynamic capabilities in the bank and to determine the communication and their effectiveness. In this regard, based on documentary studies and in-depth study of the literature and with the help of fuzzy Delphi method and the opinion of 10 experts, the areas of e-banking services, from 46 identified sub-criteria, to 13 sub- criteria for service innovation and 17 sub- criteria for dynamic capabilities Was reduced. criteria of service innovation and dynamic capabilities based on theoretical foundations, were classified into 11 main criteria and in the form of a general concept entered into the analysis of interpretive structural modeling / fuzzy MICMAC and by developing an integrated model to measure the effectiveness of criteria. The results showed that the effectiveness of the criterion "Perception of user needs and technological options" is better than other criteria and vice versa, the effectiveness of the criterion "New service delivery system - technological component" is weaker than other criteria Manuscript profile
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        115 - Prioritization of Professional Competencies of Mathematics lecturers of Farhangian University through topsis fuzzy
        marjan moayeri parvaneh amiripour
        The selection of mathematics professors is an important issue for universities, since professors are the main pillars of the universities and improving the quality of their performance leads to the improvement of the universities’ educational quality.The aim of this stu More
        The selection of mathematics professors is an important issue for universities, since professors are the main pillars of the universities and improving the quality of their performance leads to the improvement of the universities’ educational quality.The aim of this study is to Prioritization of Professional Competencies of Mathematics lecturers of Farhangian University in Iran ,through topsis fuzzy. The present study is an applied research in terms of purpose and is a combination of documentary content analysis and descriptive-analytical research in terms of nature and method. At first, the statistical population including all available domestic and foreign theoretical and research texts were selected and studied. In the second stage, to rank the selected competencies, five mathematics professors were purposefully selected from Farhangian University branches of Hormozgan province, who determined the importance of each of the indicators in a designed questionnaire that were assigned to them. The data were then analyzed, using TOPSIS fuzzy method.Based on the findings, knowledge competence, abilities competence, characteristics competence and skills competence were the most important competencies.According to the mentioned results, it can be understood that Farhangian universities can use the findings of this study to select the professional competencies of their mathematics professors. Manuscript profile
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        116 - Determining factors affecting human recourses recruitment in order to increase productivity in Iran Public agencies
        Raha Noori Naeini Gholamreza  Memarzadeh Mahmood  Alborzi
        The purpose of this study is to help increase the productivity of public agencies, in today's highly competitive and ever-changing world, by finding factors that affect the attraction of capable, committed and competent human resources. Obviously, the resulting model wi More
        The purpose of this study is to help increase the productivity of public agencies, in today's highly competitive and ever-changing world, by finding factors that affect the attraction of capable, committed and competent human resources. Obviously, the resulting model will be effective in helping to achieve development, which is one of the goals of the 1404 vision document, by helping to attract specialized and qualified human resources. To achieve this purpose, the indicators were collected using literature review and the opinions of 20 experts in public administration, human resource management and senior managers of public agencies using” Expert Panel technique”. Quantitative data were collected through the distribution of 180 questionnaires in the “Administrative and Employment organization of the whole country”, as the custodian of employment in IRAN. Statistical analysis of research data is done by EXCEL and Lisrel software and through confirmatory factor analysis. Also, fuzzy Dimatel analysis is performed to find the relationship between these factors. The findings of the analysis confirm the impact of the four mentioned factors on human resource recruitment and show that three factors out of the four (environmental factors, organizational factors and individual competencies) have a cause role and one dimension (Job related factors) have the effect role on recruitment. This means that human resource management can use this plan to improve recruit of human resources, by identifying the causal factors and facilitating them without making a direct effort on effective factor Manuscript profile
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        117 - Secondary porosity index effect on improving approaches permeability estimation from petrophysical logs utilizing artificial intelligent
        سجاد کاظم شیرودی مرتضی خانیان
        Abstract Permeability estimation using core data and petrophysical logs is a conventional approach which bears high uncertainty especially in carbonate reservoir characterization. In essence, the problem consists not only due to coring expenses rate, but also ambig More
        Abstract Permeability estimation using core data and petrophysical logs is a conventional approach which bears high uncertainty especially in carbonate reservoir characterization. In essence, the problem consists not only due to coring expenses rate, but also ambiguity in finding proper explicit log correlation to core data. Moreover, utilizing the correlated formula in wells without core data can pose errors. In this research the permeability was estimated from conventional petrophysical logs and it was calibrated with permeability obtained from core lab experiments. Applied intelligent systems are the matter of this research for permeability values estimation. To construct permeability estimation model, three techniques have been applied including conventional ANN, the Gonzalez, and Hambalek fuzzy logic techniques. These methods were applied in two wells drilled in Surmeh reservoir in Balal field to establish ANN and to derive a relation between core and well. The models were applied in control well in order to check the reliability and capability of models to estimate representative permeability value. The result showed however three foresaid techniques for permeability estimation were successful the secondary porosity distributed the correlation due to its reduction effect on permeability so that they were not interconnected. Therefore this effect was omitted using secondary porosity index in which the permeability estimation were improved and were estimated close to core value. Manuscript profile
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        118 - Comparisons of intelligent systems and empirical equation results in permeability prediction: a case study in one of the southern Iranian carbonate reservoirs
        الهام عزیز ابادی فراهانی مجتبی رجبی
        Prediction of permeability that is one of the most important parameters in oil and gas reservoirs is probably the most challenging issue geologists, petrophysicists, and reservoir engineers have to deal with. This parameter control fluid flow in production stage. The mo More
        Prediction of permeability that is one of the most important parameters in oil and gas reservoirs is probably the most challenging issue geologists, petrophysicists, and reservoir engineers have to deal with. This parameter control fluid flow in production stage. The most reliable data of permeability are taken from laboratory analysis of cores. Since coring is a costly and time consuming operation, researchers have tried to predict this parameter from other methods. Empirical equation is one of these methods, but results of these equations are not satisfied for all lithology and reservoirs. So far, several studies have been carried out for the estimation of reservoir parameters using intelligent systems. These studies indicate the successful role of these methods such as fuzzy logic, neuro-fuzzy and genetic algorithms for reservoir characterization. In this study, we try to compare results of these two methods (empirical equations and intelligent systems) for permeability prediction in a carbonate reservoir. For this purpose, petrophysical and core data of four well in a carbonate reservoir in the Southern Iran were used. At first, using empirical equations permeability was calculated for the test well; then using data of three wells, intelligent models were constructed. A forth well (test well) from the field was used to evaluate the models. The results show that fuzzy logic result (with R2= 0.88) is the best method for prediction of permeability in the studied reservoir. Also between empirical equations, result of Wyllie-Rose equation is better than others. Finally we offer the constructed fuzzy model (as a best predictor) for permeability prediction in the studied reservoir. Manuscript profile
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        119 - Comparisons of intelligent systems and empirical equation results in permeability prediction: a case study in one of the southern Iranian carbonate reservoirs
        Amir Mola jan Hoseyn Memarian
        Prediction of permeability that is one of the most important parameters in oil and gas reservoirs is probably the most challenging issue geologists, petrophysicists, and reservoir engineers have to deal with. This parameter control fluid flow in production stage. The mo More
        Prediction of permeability that is one of the most important parameters in oil and gas reservoirs is probably the most challenging issue geologists, petrophysicists, and reservoir engineers have to deal with. This parameter control fluid flow in production stage. The most reliable data of permeability are taken from laboratory analysis of cores. Since coring is a costly and time consuming operation, researchers have tried to predict this parameter from other methods. Empirical equation is one of these methods, but results of these equations are not satisfied for all lithology and reservoirs. So far, several studies have been carried out for the estimation of reservoir parameters using intelligent systems. These studies indicate the successful role of these methods such as fuzzy logic, neuro-fuzzy and genetic algorithms for reservoir characterization. In this study, we try to compare results of these two methods (empirical equations and intelligent systems) for permeability prediction in a carbonate reservoir. For this purpose, petrophysical and core data of four well in a carbonate reservoir in the Southern Iran were used. At first, using empirical equations permeability was calculated for the test well; then using data of three wells, intelligent models were constructed. A forth well (test well) from the field was used to evaluate the models. The results show that fuzzy logic result (with R2= 0.88) is the best method for prediction of permeability in the studied reservoir. Also between empirical equations, result of Wyllie-Rose equation is better than others. Finally we offer the constructed fuzzy model (as a best predictor) for permeability prediction in the studied reservoir. Manuscript profile
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        120 - Comparisons of intelligent systems and empirical equation results in permeability prediction: a case study in one of the southern Iranian carbonate reservoirs
        الهام عزیز ابادی فراهانی Kazemzadeh Ezatolah ELham Aziz Abadi Farahani
        Prediction of permeability that is one of the most important parameters in oil and gas reservoirs is probably the most challenging issue geologists, petrophysicists, and reservoir engineers have to deal with. This parameter control fluid flow in production stage. The mo More
        Prediction of permeability that is one of the most important parameters in oil and gas reservoirs is probably the most challenging issue geologists, petrophysicists, and reservoir engineers have to deal with. This parameter control fluid flow in production stage. The most reliable data of permeability are taken from laboratory analysis of cores. Since coring is a costly and time consuming operation, researchers have tried to predict this parameter from other methods. Empirical equation is one of these methods, but results of these equations are not satisfied for all lithology and reservoirs. So far, several studies have been carried out for the estimation of reservoir parameters using intelligent systems. These studies indicate the successful role of these methods such as fuzzy logic, neuro-fuzzy and genetic algorithms for reservoir characterization. In this study, we try to compare results of these two methods (empirical equations and intelligent systems) for permeability prediction in a carbonate reservoir. For this purpose, petrophysical and core data of four well in a carbonate reservoir in the Southern Iran were used. At first, using empirical equations permeability was calculated for the test well; then using data of three wells, intelligent models were constructed. A forth well (test well) from the field was used to evaluate the models. The results show that fuzzy logic result (with R2= 0.88) is the best method for prediction of permeability in the studied reservoir. Also between empirical equations, result of Wyllie-Rose equation is better than others. Finally we offer the constructed fuzzy model (as a best predictor) for permeability prediction in the studied reservoir. Manuscript profile
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        121 - طراحی مدل توسعه سرمایه¬گذاری ریسک پذیر در بورس اوراق بهادار تهران با استفاده ازروش گراندیدتئوری وAHP فازی
        ناصر  فقهی فرهمند
        Manuscript profile
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        122 - Modeling for Predicting Domestic Demands for Recreational Tourism in Tehran
              ebtehal zandi
        Recreational tourism is an important form of domestic tourism in Tehran, based on the statistics of the National Center of Statistics and the views of the experts. This paper tried to propose models for predicting effective variables on predicting domestic demands for r More
        Recreational tourism is an important form of domestic tourism in Tehran, based on the statistics of the National Center of Statistics and the views of the experts. This paper tried to propose models for predicting effective variables on predicting domestic demands for recreational tourism in Tehran. The study used the monthly information between 2001 and 2015. The independent variable was the number of domestic recreational tourists in Tehran, and the dependent variables were selected based on Delphi and Fuzzy DEMATEL techniques. The model framework was a combination of regression, the fuzzy neural network, and SVR algorithm. The combinations of these methods helped measure prediction errors and compare methods. Results showed that the proposed hybrid approach of regression and Adaptive Neuro-Fuzzy Inference System (ANFIS) could have a better prediction compared to other methods for predicting domestic recreational tourism. Manuscript profile
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        123 - Key Success Factors of Crowdsourcing in in Developing Tourism Destination Capabilities: A Case Study of Yazd City
        Hamed Fallah Tafti Mahdieh Zahmatkesh Saredorahi بهاره گورنگی
        Today, information technology has made it possible to solicit the views of different people with diverse perspectives and ideological backgrounds. Being one of the benefits of IT, crowdsourcing could, as an easy-to-use public opinion survey tool, be used as a very usefu More
        Today, information technology has made it possible to solicit the views of different people with diverse perspectives and ideological backgrounds. Being one of the benefits of IT, crowdsourcing could, as an easy-to-use public opinion survey tool, be used as a very useful instrument wherever social participation may facilitates the identification and resolution of problems. Having carefully reviewed previous studies of the field, we found that few attempts have so far been made to induce tourists to socially participate in identifying the opportunities for the development of civilian, cultural, and social infrastructures of tourist destinations. As one of the Iranian cultural and historical tourist destinations, Yazd city has recently been enlisted in UNESCO World Heritage sites and has attracted the attention of many tourists worldwide. Having said that, it appears that its tourism capacities and infrastructures need to be developed. This study, therefore, sought to identify the criteria which could be effective in the success of tourist crowdsourcing in offering appropriate solutions for the development of tourism in Yazd. To this end, the primary criteria for the successful implementation of crowdsourcing were extracted from the relevant literature, from which 25 criteria in six general categories were screened and identified via Delphi method. To rank the criteria mentioned, the opinions of Yazd tourism experts were collected through paired comparisons, being analyzed and ranked by fuzzy network analysis. The finding of the study indicated that human resources and cultural indices with the weights of 0.28 and 0.21 respectively were the most important factors in the success of tourist crowdsourcing. Manuscript profile
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        124 - Investigating the Efficiency of Iran's Tourism Industry in Different Climates
        maryam asadpour kordi hamid amirnejad seyed hadi naseri ojaki somayeh shirzadi laskukalayeh
        10.52547/journalitor.36157.9.18.0
        As a service industry that has significantly expanded in recent years, tourism plays an important role in developing many countries, including Iran, which enjoys various unique historical, religious, cultural, and natural sites and a four-season climate. Therefore, this More
        As a service industry that has significantly expanded in recent years, tourism plays an important role in developing many countries, including Iran, which enjoys various unique historical, religious, cultural, and natural sites and a four-season climate. Therefore, this study set out to examine the efficiency of Iran's tourism industry using tourism data regarding its 31 provinces during the years 2011 to 2017, including the information concerning the budget allocated to the tourism sector, the number of accommodation places, the number of tourist attraction sites in each province, and the number of domestic and foreign tourists. To this end, Fuzzy Data Envelopment Analysis was used to analyze the collected data. The study's results showed that Ardabil, Tehran, Kohkiluyeh Boyer-Ahmad, and Gilan had had the efficiency in terms of tourism throughout the study period, with their average efficiency as a primary criterion for assessing the efficiency of the country's tourism industry reported as average. Moreover, the analysis of the tourism industry's efficiency in different climates suggested that the highest efficiency belonged to the temperate and humid climate, and the lowest one was related to the hot and dry climate. Therefore, it seems that facilitating transportation infrastructure and providing welfare facilities, especially in provinces with low efficiency, could help use the potentials of different provinces to develop the country's tourism industry. Manuscript profile
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        125 - " Cognitive mapping of components for developing people-oriented cities and their importance in tourism development: A case study of Yazd province, Iran "
        Hamed Fallah Tafti saeede derakhsh vahideh hekmat
        10.52547/journalitor.36163.9.18.0
        "Contrary to automotive, commodity-based, and money-oriented cities, a people-oriented city is an organic and systematic city based on human virtues and commune where people are concerned about each others’ rights. In such a city, humans are the main focus of urban plan More
        "Contrary to automotive, commodity-based, and money-oriented cities, a people-oriented city is an organic and systematic city based on human virtues and commune where people are concerned about each others’ rights. In such a city, humans are the main focus of urban planners, urban developers, and, most importantly, municipal decision-makers and executives. Therefore, here the biological, spiritual, and psychological needs of humans are the fundamental elements taken into account by urban management. This city, then, could unite urban spaces and tourists. Considering its great potentials, Yazd could be a good case for tourism development, building people-oriented cities, and improving the desirability of urban life. This qualitative-quantitative study sought to explore the feasibility of building a people-oriented city in Yazd province based on urban planning and the causal factors involved in this regard, intending to attract more tourists to this region. To this end, 14 interviews were conducted with tourism and urban planning experts, out of which 19 factors involved in building such a city were identified. The causal relationship between the identified factors was examined through a mixed-method approach, using the fuzzy cognitive mapping technique. The study’s findings indicated that educating the citizens, developing a sense of familiarity with the environment, and reducing environmental pollutions (soil, water, air) were the three most important factors for developing people oriented-cities in Yazd province, Iran. " Manuscript profile
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        126 - Identifying and Prioritizing Development Steps of Cultural Tourism in Lorestan Province Rural Areas
        zeinab asadporiyan yaser mohamadi mehdi rahimian
        10.52547/journalitor.36166.9.18.0
        This study sought to identify and prioritize the development steps of cultural tourism in rural areas of Lorestan province using the qualitative-quantitative method and exploratory approach. To this end, at the first stage, 19 semi-structured interviews were conducted w More
        This study sought to identify and prioritize the development steps of cultural tourism in rural areas of Lorestan province using the qualitative-quantitative method and exploratory approach. To this end, at the first stage, 19 semi-structured interviews were conducted with cultural tourism experts to identify the steps involved in cultural tourism development, out of which thirty-three solutions were identified in four main steps via open, axial, and selective coding. At the second stage, the Delphi-Fuzzy technique was applied in two stages to reach a consensus among the experts and prioritize cultural tourism development steps through the defuzzification process. The results showed that the identified strategies for cultural tourism development in Lorestan province could be categorized into four main steps: "Education and Innovation," "Physical Infrastructure," "Supportive-Institutional," and "Cultural-Advertising." Moreover, since the defuzzificated mean difference of the experts' opinion was less than 0.25 in two steps, all the identified solutions were proved to be valid. The results also indicated that the first and foremost step in tourism development was "education and innovation," followed by physical infrastructure, supportive-institutional, and cultural-promotional steps, respectively. Furthermore, at each step, the most important solutions were found to be advertising for tourism villages, identifying villages with tourism potentials, providing banking facilities for villagers to help them develop tourism, and building cultural elements and particular architectures in rural areas, respectively. Manuscript profile
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        127 - Evaluation of the causal model of effective criteria on modern rural management with fuzzy demitel approach
        Ahmad hajarian
        The results of the programs implemented in rural areas for development in most cases are not only not useful but also make the current situation of the villages more chaotic, this is due to lack of proper .The results of the programs implemented in rural areas for devel More
        The results of the programs implemented in rural areas for development in most cases are not only not useful but also make the current situation of the villages more chaotic, this is due to lack of proper .The results of the programs implemented in rural areas for development in most cases are not only not useful but also make the current situation of the villages more chaotic, this is due to lack of proper management in the process of programs, with new management, villagers can Participate in the implementation of programs. Therefore, this study was conducted with the aim of evaluating the causal pattern of criteria affecting modern rural management. The present study is applied according to its purpose, and based on descriptive-causal method. The statistical sample of the study consisted of 30 experts and specialists related to rural management. In order to achieve the research goal, fuzzy dimethyl technique was used. Findings of the study showed that among the four criteria of modern rural management, the criterion of responsibility was the most effective and the criterion of initiative was the most effective criterion of modern rural management. Also, the criterion of accountability was identified as the most important criterion of modern rural management. Manuscript profile
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        128 - Literature beyond the world of zero and one A review of the literature from the perspective of Fuzzy logic
        Zohre Kafi Amir Hossein Madani
        To know this subject that the literature has Fuzzy nature not Aristotelian, can help audiences and analyzers to have a more open view when dealing with texts. Literature, like any other science and art, has the ability to be evaluated, and according to the logic that go More
        To know this subject that the literature has Fuzzy nature not Aristotelian, can help audiences and analyzers to have a more open view when dealing with texts. Literature, like any other science and art, has the ability to be evaluated, and according to the logic that governs it, one can judge whether any text is literary or not. For this reason, concepts such as literature, mystical literature, Aristotelian logic and fuzzy logic have been defined in this research, and then the relationship between literature and Aristotelian and fuzzy logic has been investigated. In this analysis, four main literary elements of a text (emotion, imagination, polysemy and form) have been analyzed in a fuzzy diagram along with an example of Persian literature. In all four cases, the result shows that a text can be placed in the circle of literature by having a degree of each of these four elements, and its literary ratio is determined according to the degree of these elements. In all four cases, the result shows that a text can be placed in the circle of literature by having a degree of each of these four elements, and its literary ratio is determined according to the degree of these elements. Manuscript profile
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        129 - Two Fuzzy Virtual Force Algorithms to Improve Sensor Deployment in Wireless Sensor Networks
        Vahid Kiani
        Maximizing area coverage is an important issue in the placement of wireless network sensors, the realization of which helps to improve the network monitoring power. In many applications, the sensors are first randomly distributed in the sensing filed and then their plac More
        Maximizing area coverage is an important issue in the placement of wireless network sensors, the realization of which helps to improve the network monitoring power. In many applications, the sensors are first randomly distributed in the sensing filed and then their placement is modified. The virtual force algorithm (VFA) tries to achieve a more desirable deployment from an initial sensing deployment by considering repulsive and attractive forces between the sensors. In this paper, the combination of Takashi-Sugeno fuzzy system with VFA is used to achieve a better redeployment of the sensors. To adaptively adjust optimal distance value of the sensors, two fuzzy methods are proposed in this paper and their role in improving performance of the virtual force algorithm is analyzed. Comparison of the performance of the proposed methods with the state-of-the-art reveals that intelligent and adaptive adjustment of the optimal distance using a fuzzy system leads to higher final coverage ratio over traditional virtual force algorithm (VFA), improved virtual force algorithm (IVFA), fuzzy redeployment algorithm (FRED), and two metaheuristics GA, and PSO. On the other hand, the proposed VF-based methods require much less time to solve the problem than GA and PSO metaheuristic methods. Manuscript profile
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        130 - Designing the Model to Identify and Prioritize the Satisfaction Indicators of e-business Customers in Fuzzy Environment Using BWM and TOPSIS
        Hamed Mohamadalizadeh Mohammad Javad  Ershadi Arman Sajedinejad
        Failure to properly manage limited resources can ultimately lead to failure for these businesses. These businesses play an important role in inventing new methods that lead to technological changes and increased production capacity. It can be said that such units are dr More
        Failure to properly manage limited resources can ultimately lead to failure for these businesses. These businesses play an important role in inventing new methods that lead to technological changes and increased production capacity. It can be said that such units are driven by change and competition, as they alter the overall structure of the market. The creation and development of these businesses is an important policy for creating new jobs, accelerating economic improvement, and fostering the growth of countries. Therefore, special attention should be paid to new businesses. This research aims to identify important factors by examining different models of customer satisfaction as well as theses and papers in this field. By presenting an indigenous model, the research first uses the best-worst fuzzy method to weight the e-business customer satisfaction factors. Then, using a fuzzy TOPSIS technique, it examines one category of e-business, namely online stores, and ranks them in terms of customer satisfaction criteria. The results show that this model, with high computational efficiency and compatibility, highlights the priority of customer satisfaction factors. Additionally, communication and interaction criteria were ranked as the most important, followed by product and service quality, price/time, and sales and after-sales service. Interactions, value/time benchmarking, quality benchmarking, and ultimately sales and after-sales service warranty were identified as the best sub-criteria. Manuscript profile
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        131 - Identifying social banking innovation process components with digital transformation approach by fuzzy Delphi method
        َAli Mahmoodi Abbas  Khamseh Mehrdad Hosseini Shakib
        This article aims to present the model of social banking innovation process with digital transformation approach by fuzzy Delphi method, which is applied in terms of purpose and qualitative research in terms of data collection. The statistical population includes all un More
        This article aims to present the model of social banking innovation process with digital transformation approach by fuzzy Delphi method, which is applied in terms of purpose and qualitative research in terms of data collection. The statistical population includes all university experts and senior bank managers who were selected for the Delphi process using 16 people using the snowball technique. The collection tool in this study is the Delphi questionnaire. Indicators were collected using fuzzy Delphi technique. The validity of the research was obtained by agreement of experts and validity with the help of consensus and formal validity. The results showed that during the three stages of the survey of 66 components, the final model has 43 components and has 6 dimensions. Based on the results obtained from fuzzy Delphi method and research literature was expressed. The 43 factors (indices) identified and approved by experts are the basis of the formation of the research model, which are classified into 6 separate groups: 1- Social factors (SF), 2- Rules and policies (RP), 3- Digital transformation infrastructure (DTI), 4- Innovative approach (IA), 5- Security (S) and 6- Banking industry structure (SBI) Manuscript profile
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        132 - Integration of Geological, Geochemical, Alteration and Remote Sensing Data to Introduce the Mineralization Potentials in the Sarbisheh area, South Khorasan
        S. Modabberi M. Azarifar S. Shamsoddin Ahmadi D. Raeisi
        Sarbisheh area is located in the west of Sarbisheh and southeast of Birjand, South Khorasan province. This area is located in the Birjand ophiolite melange zone and is a part of the northern part of the Iranshahr-Birjand metallogenic belt. The lithological units in this More
        Sarbisheh area is located in the west of Sarbisheh and southeast of Birjand, South Khorasan province. This area is located in the Birjand ophiolite melange zone and is a part of the northern part of the Iranshahr-Birjand metallogenic belt. The lithological units in this area include ophiolite melange, flysch facies sediments, pyroclastic rocks and Quaternary sediments. Geochemical studies of stream sediments and identification of geochemical indicators of mineral resources in the region were performed using the results of geochemical analysis and principal component analysis. Remote sensing studies were performed on the ASTER and Landsat satellite images using color composite, selective principal component analysis (crusta) on the Landsat 8 satellite imagery to identify the alteration zones. The lineaments of the region were drawn using the high-pass filter method of the ASTER satellite image and the Google image. Finally, by creating layers of geological units, geochemical data, alteration and lineament and integrating them with fuzzy method, areas with potential mineralization of nickel, chromium, cobalt, copper, lead, zinc and magnesite were identified. Manuscript profile
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        133 - Presenting the structural model of the green human resource management implementation process using the fuzzy interpretive structural modeling method
        mohammadhossein kabgani,
        Green human resources management, as a strong tool that takes the role of human factors, can help organizations to fulfill their social responsibilities in order to protect the environment. This research has been carried out with the aim of systematically reviewing prev More
        Green human resources management, as a strong tool that takes the role of human factors, can help organizations to fulfill their social responsibilities in order to protect the environment. This research has been carried out with the aim of systematically reviewing previous researches in the field of green human resources management, as well as identifying key elements and providing a structural model to implement the green human resources management process in the chemical and petrochemical industries of Bushehr province. By studying thematic literature and using the textual content analysis approach, six basic indicators were counted, and in order to localize them in order to implement green human resources management in the chemical and petrochemical industries, the Delphi technique was used in three rounds. The statistical population of the research was formed by managers and experts familiar with the subject and working in the field of petrochemical industries. A researcher-made questionnaire was used to collect data, and its validity and reliability were also confirmed. In order to design the structural model of the effective indicators for the implementation of the green human resources management process, the interpretive structural modeling approach in the fuzzy environment was used to manage linguistic ambiguities in judgments. The results of the modeling and analysis of Mik Mak showed that individual, group and organizational indicators are among the basic and influential indicators in the field of Sabza's human resources management; Therefore, managers are suggested to emphasize and pay more attention to this group of indicators. Manuscript profile
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        134 - Identifying the Key Drivers of Digital Signature Implementation in Iran (using fuzzy Delphi method)
        Ghorbanali Mehrabani Fatemeh Zargaran khouzani
        iThe purpose of this article is to identify and analyze the key drivers of digital signature implementation in Iran with a fuzzy Delphi approach. In terms of practical purpose and in terms of information gathering, the research has benefited from a hybrid approach. The More
        iThe purpose of this article is to identify and analyze the key drivers of digital signature implementation in Iran with a fuzzy Delphi approach. In terms of practical purpose and in terms of information gathering, the research has benefited from a hybrid approach. The statistical community consists of all experts and specialists in the field of information technology and digital signature and articles in this field. The sample size of the statistical community of experts is 13 people who were selected by the purposeful sampling method. 30 articles were selected based on their availability and downloadable, non-technical nature, and relevance to the topic. The method of data analysis was done according to the fuzzy Delphi approach. Validity and reliability were calculated and confirmed using the CVR index and Cohen's kappa test with coefficients of 0.83 and 0.93, respectively. The results prove that the key drivers of digital signature implementation in Iran include 5 main dimensions and 30 concepts, which are 1) security (information confidentiality, information security, sender authentication, document authentication, privacy protection, trust between parties), 2) business (digital business models, communication needs, staff management, organization size, organizational structure, organization resources, organizational culture, top managers, competition ecosystem, e-governance), 3) user (perceived convenience, perceived benefit, consumer behavior, consumer literacy, consumer lifestyle), 4) technical (development of technical infrastructure, systems integration, system complexity, system tanks, design quality, technical speed of certificate production and verification, impermeability of hackers) and 5) Legal (legal licenses, penal laws, legislative body, e-commerce laws). Manuscript profile
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        135 - Designing an organizational ethics evaluation model in small and medium industries
        ali mehdizadehashrafi Majid Jahangir Fard Touraj Mojibi Nasrin  Jamali Monfared
        The purpose of this study is to provide a model and ranking for evaluating organizational ethics in small and medium industries. The statistical population of the study is the managers of small and medium industries, which was designed after studying the theoretical lit More
        The purpose of this study is to provide a model and ranking for evaluating organizational ethics in small and medium industries. The statistical population of the study is the managers of small and medium industries, which was designed after studying the theoretical literature on the subject of the initial model. After designing the questionnaire, the opinions of experts were collected and the components and indicators of organizational ethics evaluation were prioritized using Choice Expert software using AHP and ISM techniques. Findings showed that to design a model for evaluating organizational ethics in small and medium industries, a total of 5 components and 17 indicators should be considered. The components are individual factors, organizational factors, environmental factors, structural factors, contextual factors, each of which has indicators, which were compiled by weighting and scoring the organizational ethics evaluation form with a total of 1000 points, obtained from the total points of each index. Manuscript profile
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        136 - Determining factors affecting human recourses recruitment in order to increase productivity in Iran Public agencies
        رها نوری نائینی Gholamreza  Memarzadeh Mahmood  Alborzi
        The purpose of this study is to help increase the productivity of public agencies, in today's highly competitive and ever-changing world, by finding factors that affect the attraction of capable, committed and competent human resources. Obviously, the resulting model wi More
        The purpose of this study is to help increase the productivity of public agencies, in today's highly competitive and ever-changing world, by finding factors that affect the attraction of capable, committed and competent human resources. Obviously, the resulting model will be effective in helping to achieve development, which is one of the goals of the 1404 vision document, by helping to attract specialized and qualified human resources. To achieve this purpose, the indicators were collected using literature review and the opinions of 20 experts in public administration, human resource management and senior managers of public agencies using” Expert Panel technique”. Quantitative data were collected through the distribution of 180 questionnaires in the “Administrative and Employment organization of the whole country”, as the custodian of employment in IRAN. Statistical analysis of research data is done by EXCEL and Lisrel software and through confirmatory factor analysis. Also, fuzzy Dimatel analysis is performed to find the relationship between these factors. The findings of the analysis confirm the impact of the four mentioned factors on human resource recruitment and show that three factors out of the four (environmental factors, organizational factors and individual competencies) have a cause role and one dimension (Job related factors) have the effect role on recruitment. This means that human resource management can use this plan to improve recruit of human resources, by identifying the causal factors and facilitating them without making a direct effort on effective factor. Manuscript profile
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        137 - An approach to prioritize quality dimensions of based on cloud computing using Multiple Criteria Decision Making method
        Zahra Abbasi Somayeh Fatahi Mohammad Javad  Ershadi
        Today, quality is one of the most important factors in attracting customer satisfaction and loyalty to service organizations. Therefore, one of the main concerns of managers is to improve the quality of services. With the development of the Internet and the world of com More
        Today, quality is one of the most important factors in attracting customer satisfaction and loyalty to service organizations. Therefore, one of the main concerns of managers is to improve the quality of services. With the development of the Internet and the world of communications, a concept called cloud computing has expanded in the world of communications, which provides a new model for the supply, consumption and delivery of computing services. The purpose of this study is to make the optimal decision in choosing the appropriate cloud service according to the conditions of users so that they achieve the highest satisfaction. Fuzzy Delphi method, fuzzy hierarchical analysis method, fuzzy TOPSIS method and finally multi-criteria decision making method are the methods used in this research. The results of the fuzzy Delphi method show that the indicators of transparency, accessibility and reliability should be eliminated. The results of fuzzy hierarchical analysis identified the cost index as the most important index and the support index during demand as the least important index. According to the results of fuzzy TOPSIS based on the weights obtained from fuzzy hierarchical analysis, SAAS, IAAS and PAAS cloud services were ranked first to third, respectively. Using the SAAS service provides numerous benefits to employees and companies, such as reducing time and money spent on time-consuming tasks such as installing, managing, and upgrading software. Manuscript profile
      • Open Access Article

        138 - Presenting a risky investment model in the insurance industry based on the fuzzy network analysis process
        Yazdan Gudarzi Farahani Amir Mohammadzade Mohsen Mehrara Zulikha  Morsali Aruznaq
        The purpose of this article is to identify and present a high-risk investment model for insurance institutions in order to establish a risky insurance investment fund. The insurance industry is one of the strongest and most important supporting institutions of financial More
        The purpose of this article is to identify and present a high-risk investment model for insurance institutions in order to establish a risky insurance investment fund. The insurance industry is one of the strongest and most important supporting institutions of financial institutions, through risk coverage and investment of technical reserves in financial and real assets and the implementation of profitable economic activities, it plays a very important role in the dynamics of financial markets. Creating a decision-making model in a fuzzy environment provides this possibility for decision-makers so that they can more easily comment on the evaluation of options and determining the importance of decision-making criteria. In this article, it has been tried to identify and introduce the most important factors and effective factors of venture capital (VC) using the technique of fuzzy network analysis process in the insurance industry. The data needed for the research has been collected through in-depth interviews with a number of experts and researchers in the insurance industry, as well as a questionnaire. Due to the lack of independence and the existence of dependence between the effective factors, the method of fuzzy network analysis process was used to identify the possible dependencies between factors and measure them for the development of the VC model, and the results were prioritized with the method of non-fuzzy network analysis process. Is. The findings of the research show that operating cycle indicators, total asset turnover ratio, total investment return, loss factor, asset-liability ratio are ranked first to fifth among VC indicators. VCs help the insurance industry establish internal accounting rules and standardize their financial statements. In other words, VC support modifies the "hard" and "soft" information required for insurance.. Manuscript profile
      • Open Access Article

        139 - Nonlinear Fractional Intelligent Controller for Photovoltaic Inverters
        Hadi Delavari Sara Arjmandpour
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7 Colorful Accent 4"/> <w:LsdException Locked="false" Priority="46" Name="List Table 1 Light Accent 5"/> <w:LsdException Locked="false" Priority="47" Name="List Table 2 Accent 5"/> <w:LsdException Locked="false" Priority="48" Name="List Table 3 Accent 5"/> <w:LsdException Locked="false" Priority="49" Name="List Table 4 Accent 5"/> <w:LsdException Locked="false" Priority="50" Name="List Table 5 Dark Accent 5"/> <w:LsdException Locked="false" Priority="51" Name="List Table 6 Colorful Accent 5"/> <w:LsdException Locked="false" Priority="52" Name="List Table 7 Colorful Accent 5"/> <w:LsdException Locked="false" Priority="46" Name="List Table 1 Light Accent 6"/> <w:LsdException Locked="false" Priority="47" Name="List Table 2 Accent 6"/> <w:LsdException Locked="false" Priority="48" Name="List Table 3 Accent 6"/> <w:LsdException Locked="false" Priority="49" Name="List Table 4 Accent 6"/> <w:LsdException Locked="false" Priority="50" Name="List Table 5 Dark Accent 6"/> <w:LsdException Locked="false" Priority="51" Name="List Table 6 Colorful Accent 6"/> <w:LsdException Locked="false" Priority="52" Name="List Table 7 Colorful Accent 6"/> </w:LatentStyles> </xml><![endif]--><!-- [if gte mso 10]> <style> /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0mm 5.4pt 0mm 5.4pt; mso-para-margin:0mm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman",serif;} </style> <![endif]--><span style="font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">At present, with the significant growth of energy consumption, increase of greenhouse gases and environmental pollutants, more attention is directed toward renewable energies. Renewable energies include geothermal, wind, photovoltaic energy and etc. Among the advantages of photovoltaic energy, its wide range and easy access, helping to preserve the environment, compatibility with distributed power networks, low noise, quick installation and lower cost compared to other energies can be noted. Important challenges facing photovoltaic systems are changing climatic conditions and parameters variation that affect the performance of the system. In this paper, to track the maximum power point in a photovoltaic system, a fuzzy fractional order sliding mode controller based on disturbance observer and uncertainty estimator using neural network is designed. The sliding mode control is used to reduce chattering, neural network to estimate the system uncertainties, fuzzy system to estimate the coefficient of the signum function in the control law and disturbance observer to approximate the disturbances in the system. Also, the stability of the system has been proven using the Lyapunov method. The simulation results of the photovoltaic system confirm the effectiveness of the proposed method and shows satisfactory performance.</span></p> Manuscript profile
      • Open Access Article

        140 - Evaluation of the causal model of effective criteria on modern rural management with fuzzy demitel approach
        ahmad hajarian
        The results of the programs implemented in rural areas for development in most cases are not only not useful but also make the current situation of the villages more chaotic, this is due to lack of proper management in the process of programs, with new management, vil More
        The results of the programs implemented in rural areas for development in most cases are not only not useful but also make the current situation of the villages more chaotic, this is due to lack of proper management in the process of programs, with new management, villagers can Participate in the implementation of programs. Therefore, this study was conducted with the aim of evaluating the causal pattern of criteria affecting modern rural management. The present study is applied according to its purpose, and based on descriptive-causal method. The statistical sample of the study consisted of 30 experts and specialists related to rural management. In order to achieve the research goal, fuzzy dimethyl technique was used. Findings of the study showed that among the four criteria of modern rural management, the criterion of responsibility was the most effective and the criterion of initiative was the most effective criterion of modern rural management. Also, the criterion of accountability was identified as the most important criterion of modern rural management. Manuscript profile
      • Open Access Article

        141 - Presenting a risky investment model in the insurance industry based on the fuzzy network analysis process
        Amir Mohammadzade Yazdan Gudarzi Farahani مریم  پورفرزام Zulikha  Morsali Aruznaq Mohsen Mehrara
        The purpose of this paper is to identify and present a high-risk investment model for insurance institutions in order to establish a risky insurance investment fund. In this paper, it has been tried to identify and introduce the most important factors and effective fact More
        The purpose of this paper is to identify and present a high-risk investment model for insurance institutions in order to establish a risky insurance investment fund. In this paper, it has been tried to identify and introduce the most important factors and effective factors of venture capital (VC) using the technique of fuzzy network analysis process in the insurance industry. The data needed for the research has been collected through in-depth interviews with a number of experts and researchers in the insurance industry, as well as a questionnaire. Due to the lack of independence and the existence of dependence between the effective factors, the method of fuzzy network analysis process was used to identify the possible dependencies between factors and measure them for the development of the VC model, and the results were prioritized with the method of non-fuzzy network analysis process. Is. The findings of the research show that operating cycle indicators, total asset turnover ratio, total investment return, loss factor, asset-liability ratio are ranked first to fifth among VC indicators. VCs help the insurance industry establish internal accounting rules and standardize their financial statements. In other words, VC support modifies the "hard" and "soft" information required for insurance. Manuscript profile
      • Open Access Article

        142 - Identifying the Key Drivers of Digital Signature Implementation in Iran (Using Fuzzy Delphi Method)
        Ghorbanali Mehrabani Fatemeh Zargaran khouzani
        Despite the emphasis of researchers and experts on the need to implement digital signatures and the progress of technology towards the digitization of all affairs and electronic governance, Iran is still facing the challenge of implementing digital signatures. The purpo More
        Despite the emphasis of researchers and experts on the need to implement digital signatures and the progress of technology towards the digitization of all affairs and electronic governance, Iran is still facing the challenge of implementing digital signatures. The purpose of this article is to identify and analyze the key drivers of digital signature implementation in Iran with a fuzzy Delphi approach. In terms of practical purpose and in terms of information gathering, the research has benefited from a hybrid approach. The statistical community consists of all experts and specialists in the field of information technology and digital signature and articles in this field. The sample size of the statistical community of experts is 13 people who were selected by the purposeful sampling method. 31 articles were selected based on their availability and downloadable, non-technical nature, and relevance to the topic. The method of data analysis was done according to the fuzzy Delphi approach. Validity and reliability were calculated and confirmed using the CVR index and Cohen's kappa test with coefficients of 0.83 and 0.93, respectively. The results prove that the key drivers of digital signature implementation in Iran include 5 main dimensions and 30 concepts, which are 1) security (information confidentiality, information security, sender authentication, document authentication, privacy protection, trust between parties), 2) business (digital business models, communication needs, staff management, organization size, organizational structure, organization resources, organizational culture, top managers, competition ecosystem, e-governance), 3) user (perceived convenience, perceived benefit, consumer behavior, consumer literacy, consumer lifestyle), 4) technical (development of technical infrastructure, systems integration, system complexity, system tanks, design quality, technical speed of certificate production and verification, impermeability of hackers) and 5) Legal (legal licenses, penal laws, legislative body, e-commerce laws). It is suggested that in the field of digital signature implementation, special attention should be paid to rewriting rules, training users, creating a security culture, and digital signature policymakers should invite knowledge-based companies to cooperate in developing infrastructure and making relevant software competitive. Manuscript profile

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