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Open Access Article
1 - Evaluating Indicators of Organizational Agility by Fuzzy Multi Criteria Decision Making: (Iran Power Development Organization)
Zeinolabedin Akbarzadeh Mohammad valipourkhatir Mohammad mohammadpouromranAgility 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 MoreAgility 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 -
Open Access Article
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 bastamiOrganizational 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 MoreOrganizational 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 -
Open Access Article
3 - Providing a Model for Leveraging a Technological Competene (Studied Case: Snake-Like Robot)
علی حیدری esmaeil jafarpanahNowadays, 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 MoreNowadays, 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 - Designing a Fuzzy Expert System for Selecting an Appropriate Contractor in Information Technology Outsourcing
shaban elahi nadia kalantari alireza hassanzade sara shamsollahiIncrement 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 MoreIncrement 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 -
Open Access Article
5 - Image Processing of steel sheets for Defect Detection by using Gabor Wavelet
masoud shafiee mostafa sadeghiIn different steps of steel production, various defects appear on the surface of the sheet. Putting aside the causes of defects, precise identification of their kinds helps classify steel sheet correctly, thereby it allocates a high percentage of quality control process MoreIn different steps of steel production, various defects appear on the surface of the sheet. Putting aside the causes of defects, precise identification of their kinds helps classify steel sheet correctly, thereby it allocates a high percentage of quality control process. QC of steel sheet for promotion of product quality and maintaining the competitive market is of great importance. In this paper, in addition to quick review of image process techniques used, using image process by means of Gabor wavelet, a fast and precise solution for detection of texture defects in steel sheet is presented. In first step, the approach extracts considerable texture specification from image by using Gabor wavelet. The specification includes both different directions and different frequencies. Then using statistical methods, images are selected that have more obvious defects, and location of defects is determined. Offering the experimental samples, the accuracy and speed of the method is indicated. Manuscript profile -
Open Access Article
6 - Multimedia teaching and its effects on learning and retention of English grammar
Somayeh AhariIncrement 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 MoreIncrement 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 -
Open Access Article
7 - The study of the accuracy of real estate experts' evaluations using a data mining model (Case study of Mellat Bank)
fatemeh davarAs 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 MoreAs 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 -
Open Access Article
8 - Identifying Technological Business Criteria Based On Cloud Computing Using Fuzzy Delphi Method
Ahmad fendereskiThis 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 MoreThis 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 -
Open Access Article
9 - Identification and Prioritization of Parameters Affecting Information Security Management System (Case Study: Social Security Branches of Guilan Province)
Asadollah Shahbahrami ramin rafizadeh kasani hossein pour yousefi dargahInformation and its protection is one of the most important pillars of survival of today's organizations. Defines and considers many ISMS implementation failures to be rooted in organizational issues and disregard for the organization's readiness prior to implementation MoreInformation and its protection is one of the most important pillars of survival of today's organizations. Defines and considers many ISMS implementation failures to be rooted in organizational issues and disregard for the organization's readiness prior to implementation. Therefore, assessing the situation and prioritizing information security risks and creating an overview and hierarchy of it, is important in the successful establishment of the information security system. However, in terms of dimensions, effects and various causes of security risks and considering the multiplicity of indicators and effective parameters of ISMS implementation, it is necessary to use multi-criteria decision-making models in their evaluation and ranking. . In this study, an attempt has been made to classify the factors affecting the information security management system into two groups of soft and hard factors and in order to accurately rank and focus more, especially in conditions of uncertainty that is inherent in human decision making, Fuzzy hierarchical analysis (FAHP) was performed. Based on this and with the help of a questionnaire to quantify the results, the opinions of technical experts including academic experts, managers and employees of the information technology department of social security branches in Guilan province have been used as a case study of this research. The results show that soft factors including managerial and cultural / social factors are more important than hard factors including financial and technical / technological factors in information security management system and management factors are more important than other soft factors as well as technical / technological factors. They are more important than other difficult factors. Manuscript profile -
Open Access Article
10 - Measuring motivation and job satisfaction in industry and the role of government and university in their improvement
naser shams farnaz kazempourImproving 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. MoreImproving 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 -
Open Access Article
11 - Evaluation of Ecotourism in Boujagh National Park using multi-criteria analysis and GIS
Maryam Haghighi khomamiLandslide is a geological phenomenon which cause annual enormous losses of life and property in the country. Since the set of natural and human factors contributed to the damages caused by the landslide, this phenomenon is known as the limiting factor in land developmen MoreLandslide is a geological phenomenon which cause annual enormous losses of life and property in the country. Since the set of natural and human factors contributed to the damages caused by the landslide, this phenomenon is known as the limiting factor in land development policies. One of the most important solution to reduce the damages caused by landslides, is to avoide these areas. For this it is essential to provide high accuracy maps of landslide hazard zoning by an available and suitable method. Thus in this study GIS (Geographic Information System) was utilized to determine the high risk areas and evaluate the impact of various factors. At first the influenced factors were selected by field and other reserchers studies then the layers were prepared on GIS ( by the use of ArcGIS 10.2). These layers are lithology, slope, aspect, land use, road networks, distance to fault, elevation and drainage watershed in Emamzade Ebrahim watershed in west of Guilan province, Iran. In step 1, standardization of the layers was done using Fuzzy logic. Step 2, analyze hierarchi prossess (AHP) was used to pair-wise comparison of these factors and the weight of each factor, which represents the degree of their influence had been calculated and finally landslide hazard zonation map was prepared with different sensitivities. Slope by the weight of 0/308 and lithology 0/231 had highest impact and should be more emphasis and considere on basin development planning managers and policy makers. Also 39% of the basin area has low sensitivity and 2% has very high sensitivity to the risk of the occurrence of landslide hazard. Manuscript profile -
Open Access Article
12 - Comparing A Hybridization of Fuzzy Inference System and Particle Swarm Optimization Algorithm with Deep Learning to Predict Stock Prices
Majid Abdolrazzagh-Nezhad mahdi kheradPredicting 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 MorePredicting 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 amrolahiRecommender 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 MoreRecommender 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 -
Open Access Article
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 mohammadiFree 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 MoreFree 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 -
Open Access Article
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 DehrashidAttention 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 MoreAttention 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 -
Open Access Article
16 - Capacity of urban management in the empowerment process of informal settlements: A case study of five Iranian cities
MohammadEmpowerment 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 MoreEmpowerment 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 -
Open Access Article
17 - 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 MoreNowadays “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 -
Open Access Article
18 - Measure of Rural Developmen with emphasis on FUZZY Logic Case Study: Rural district of the Boushehr Province
Alireza EstelajiThis 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 MoreThis 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 -
Open Access Article
19 - Spatial-physical structure management of in-city structures, by AHP method and fuzzy logic (Case study: region17 of Tehran)
Nemat Hosseinzadeh Faraz Estelaji Elham AminiDue 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 MoreDue 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 -
Open Access Article
20 - Robustness of fuzzy c-mean method for delineation of hydrochemical facies distribution of groundwater in Varamin Plain
Mohammad Nakhaei Mehdi Talkhabi Meysam VadiatiIn this paper, classification of a large hydrochemical data set from Varamin plain is done by using fuzzy c-means (FCM) and hierarchical cluster analysis (HCA) clustering techniques. Then its application to hydrochemical facies delineation is discussed. Groundwater samp MoreIn this paper, classification of a large hydrochemical data set from Varamin plain is done by using fuzzy c-means (FCM) and hierarchical cluster analysis (HCA) clustering techniques. Then its application to hydrochemical facies delineation is discussed. Groundwater samples were grouped into three classes according to the optimum number of the classes and fuzziness exponent by using the fuzzy c-mean. The data set includes 90 deep and moderate deep well samples from groundwater data set and 9 hydrochemical variables were used. Results from both FCM and HCA clustering produced cluster centers that can be used to identify the physical and chemical processes creating the variations in the water chemistries. The optimum cluster in FCM method determined by optimization function, but in HCA method by trial and error. The FCM method is potentially useful in establishing hydrochemical facies distribution and may provide a better tool than HCA for clustering large data sets when overlapping or continuous clusters exist. Plotting the cluster membership value contours on a map demonstrated the existence of three spatially continuous, well-defined clusters of groundwater samples. The results showed that the FCM method is more sound for investigating threshold data rather than HCA method (that represents sharp and abrupt variations). Manuscript profile -
Open Access Article
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 ZareiOutsourcing, 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 MoreOutsourcing, 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 -
Open Access Article
22 - An Introduction to the functionalist poetics
علیرضا خانجان Zahra میرزاEmphasizing 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 MoreEmphasizing 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 -
Open Access Article
23 - Using the Fuzzy cognitive maps in the field of regional studies
Ahmad دوست محمديFew 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 MoreFew 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 -
Open Access Article
24 - Selecting Enterprise Resource Planning System Using Fuzzy Analytic Hierarchy Process Approach
hojatallah hamidiTo select 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 MoreTo select 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 of Functionality, Reliability¬, Usability¬, Efficiency¬, Maintainability¬, Portability¬, Cost, Implementation time, User friendliness¬, Flexibility¬, Vendor Reputation¬, Consultancy Services, and R&D Capability¬ and arranged in a hierarchy structure. These criteria and factors are weighted and prioritized and finally a framework is provided for ERP selection with the fuzzy AHP method. Also, a real case study from Iran (PARDIS-LO Company) is also presented to demonstrate efficiency of this method in practice. Manuscript profile -
Open Access Article
25 - Design, Implementation and Evaluation of Multi-terminal Binary Decision Diagram based Binary Fuzzy Relations
Hamid Alavi Toussi Bahram Sadeghi BighamElimination of redundancies in the memory representation is necessary for fast and efficient analysis of large sets of fuzzy data. In this work, we use MTBDDs as the underlying data-structure to represent fuzzy sets and binary fuzzy relations. This leads to elimination MoreElimination of redundancies in the memory representation is necessary for fast and efficient analysis of large sets of fuzzy data. In this work, we use MTBDDs as the underlying data-structure to represent fuzzy sets and binary fuzzy relations. This leads to elimination of redundancies in the representation, less computations, and faster analyses. We also extended a BDD package (BuDDy) to support MTBDDs in general and fuzzy sets and relations in particular. Representation and manipulation of MTBDD based fuzzy sets and binary fuzzy relations are described in this paper. These include design and implementation of different fuzzy operations such as max, min and max-min composition. In particular, an efficient algorithm for computing max-min composition is presented.Effectiveness of our MTBDD based implementation is shown by applying it on fuzzy connectedness and image segmentation problem. Compared to a base implementation, the running time of the MTBDD based implementation was faster (in our test cases) by a factor ranging from 2 to 27. Also, when the MTBDD based data-structure was employed, the memory needed to represent the final results was improved by a factor ranging from 37.9 to 265.5. We also describe our base implementation which is based on matrices. Manuscript profile -
Open Access Article
26 - Efficient Land-cover Segmentation Using Meta Fusion
Morteza Khademi Hadi Sadoghi YazdiMost popular fusion methods have their own limitations; e.g. OWA (order weighted averaging) has “linear model” and “summation of inputs proportions in fusion equal to 1” limitations. Considering all possible models for fusion, proposed fusion method involve input data c MoreMost popular fusion methods have their own limitations; e.g. OWA (order weighted averaging) has “linear model” and “summation of inputs proportions in fusion equal to 1” limitations. Considering all possible models for fusion, proposed fusion method involve input data confusion in fusion process to segmentation. Indeed, limitations in proposed method are determined adaptively for each input data, separately. On the other hand, land-cover segmentation using remotely sensed (RS) images is a challenging research subject; due to the fact that objects in unique land-cover often appear dissimilar in different RS images. In this paper multiple co-registered RS images are utilized to segment land-cover using FCM (fuzzy c-means). As an appropriate tool to model changes, fuzzy concept is utilized to fuse and integrate information of input images. By categorizing the ground points, it is shown in this paper for the first time, fuzzy numbers are need and more suitable than crisp ones to merge multi-images information and segmentation. Finally, FCM is applied on the fused image pixels (with fuzzy values) to obtain a single segmented image. Furthermore mathematical analysis and used proposed cost function, simulation results also show significant performance of the proposed method in terms of noise-free and fast segmentation. Manuscript profile -
Open Access Article
27 - Balancing Agility and Stability of Wireless Link Quality Estimators
MohammadJavad Tanakian Mehri MehrjooThe performance of many wireless protocols is tied to a quick Link Quality Estimation (LQE). However, some wireless applications need the estimation to respond quickly only to the persistent changes and ignore the transient changes of the channel, i.e., be agile and sta MoreThe performance of many wireless protocols is tied to a quick Link Quality Estimation (LQE). However, some wireless applications need the estimation to respond quickly only to the persistent changes and ignore the transient changes of the channel, i.e., be agile and stable, respectively. In this paper, we propose an adaptive fuzzy filter to balance the stability and agility of LQE by mitigating the transient variation of it. The heart of the fuzzy filter is an Exponentially Weighted Moving Average (EWMA) low-pass filter that its smoothing factor is changed dynamically with fuzzy rules. We apply the adaptive fuzzy filter and a non-adaptive one, i.e., an EWMA with a constant smoothing factor, to several types of channels from short-term to long-term transitive channels. The comparison of the filters outputs shows that the non-adaptive filter is stable for large values of the smoothing factor and is agile for small values of smoothing factor, while the proposed adaptive filter outperforms the other ones in terms of balancing the agility and stability measured by the settling time and coefficient of variation, respectively. Notably, the proposed adaptive fuzzy filter performs in real time and its complexity is low, because of using limited number of fuzzy rules and membership functions. Manuscript profile -
Open Access Article
28 - Reducing Energy Consumption in Sensor-Based Internet of Things Networks Based on Multi-Objective Optimization Algorithms
Mohammad sedighimanesh Hessam Zandhessami Mahmood Alborzi Mohammadsadegh KhayyatianEnergy is an important parameter in establishing various communications types in the sensor-based IoT. Sensors usually possess low-energy and non-rechargeable batteries since these sensors are often applied in places and applications that cannot be recharged. The mos MoreEnergy is an important parameter in establishing various communications types in the sensor-based IoT. Sensors usually possess low-energy and non-rechargeable batteries since these sensors are often applied in places and applications that cannot be recharged. The most important objective of the present study is to minimize the energy consumption of sensors and increase the IoT network's lifetime by applying multi-objective optimization algorithms when selecting cluster heads and routing between cluster heads for transferring data to the base station. In the present article, after distributing the sensor nodes in the network, the type-2 fuzzy algorithm has been employed to select the cluster heads and also the genetic algorithm has been used to create a tree between the cluster heads and base station. After selecting the cluster heads, the normal nodes become cluster members and send their data to the cluster head. After collecting and aggregating the data by the cluster heads, the data is transferred to the base station from the path specified by the genetic algorithm. The proposed algorithm was implemented with MATLAB simulator and compared with LEACH, MB-CBCCP, and DCABGA protocols, the simulation results indicate the better performance of the proposed algorithm in different environments compared to the mentioned protocols. Due to the limited energy in the sensor-based IoT and the fact that they cannot be recharged in most applications, the use of multi-objective optimization algorithms in the design and implementation of routing and clustering algorithms has a significant impact on the increase in the lifetime of these networks. Manuscript profile -
Open Access Article
29 - Energy Efficient Routing-Based Clustering Protocol Using Computational Intelligence Algorithms in Sensor-Based IoT
Mohammad sedighimanesh Hessam Zandhessami Mahmood Alborzi Mohammadsadegh KhayyatianBackground: The main limitation of wireless IoT sensor-based networks is their energy resource, which cannot be charged or replaced because, in most applications, these sensors are usually applied in places where they are not accessible or rechargeable. Objective: The p MoreBackground: The main limitation of wireless IoT sensor-based networks is their energy resource, which cannot be charged or replaced because, in most applications, these sensors are usually applied in places where they are not accessible or rechargeable. Objective: The present article's main objective is to assist in improving energy consumption in the sensor-based IoT network and thus increase the network’s lifetime. Cluster heads are used to send data to the base station. Methods: In the present paper, the type-1 fuzzy algorithm is employed to select cluster heads, and the type-2 fuzzy algorithm is used for routing between cluster heads to the base station. After selecting the cluster head using the type-1 fuzzy algorithm, the normal nodes become the members of the cluster heads and send their data to the cluster head, and then the cluster heads transfer the collected data to the main station through the path which has been determined by the type-2 fuzzy algorithm. Results: The proposed algorithm was implemented using MATLAB simulator and compared with LEACH, DEC, and DEEC protocols. The simulation results suggest that the proposed protocol among the mentioned algorithms increases the network’s lifetime in homogeneous and heterogeneous environments. Conclusion: Due to the energy limitation in sensor-based IoT networks and the impossibility of recharging the sensors in most applications, the use of computational intelligence techniques in the design and implementation of these algorithms considerably contributes to the reduction of energy consumption and ultimately the increase in network’s lifetime. Manuscript profile -
Open Access Article
30 - Detection of Attacks and Anomalies in the Internet of Things System using Neural Networks Based on Training with PSO Algorithms, Fuzzy PSO, Comparative PSO and Mutative PSO
Mohammad Nazarpour navid nezafati Sajjad ShokouhyarIntegration and diversity of IOT terminals and their applicable programs make them more vulnerable to many intrusive attacks. Thus, designing an intrusion detection model that ensures the security, integrity, and reliability of IOT is vital. Traditional intrusion detect MoreIntegration and diversity of IOT terminals and their applicable programs make them more vulnerable to many intrusive attacks. Thus, designing an intrusion detection model that ensures the security, integrity, and reliability of IOT is vital. Traditional intrusion detection technology has the disadvantages of low detection rates and weak scalability that cannot adapt to the complicated and changing environment of the Internet of Things. Hence, one of the most widely used traditional methods is the use of neural networks and also the use of evolutionary optimization algorithms to train neural networks can be an efficient and interesting method. Therefore, in this paper, we use the PSO algorithm to train the neural network and detect attacks and abnormalities of the IOT system. Although the PSO algorithm has many benefits, in some cases it may reduce population diversity, resulting in early convergence. Therefore,in order to solve this problem, we use the modified PSO algorithm with a new mutation operator, fuzzy systems and comparative equations. The proposed method was tested with CUP-KDD data set. The simulation results of the proposed model of this article show better performance and 99% detection accuracy in detecting different malicious attacks, such as DOS, R2L, U2R, and PROB. Manuscript profile -
Open Access Article
31 - Explain the factors affecting students' entrepreneurial talent using Fuzzy method
maryam rashki Zahra hemmatFostering students' entrepreneurial talents in higher education institutions is one of the goals of universities in order to create an entrepreneurial university. The main purpose of this study is to explain the factors affecting the entrepreneurial aptitude of Sistan a MoreFostering students' entrepreneurial talents in higher education institutions is one of the goals of universities in order to create an entrepreneurial university. The main purpose of this study is to explain the factors affecting the entrepreneurial aptitude of Sistan and Baluchestan University students by AHP-Fuzzy hierarchical analysis. The statistical population of this study is entrepreneurial students of higher education institutions in Sistan and Baluchestan province. 20 entrepreneurial and successful students in business and expertise were selected and finally 15 questionnaires were completed and analyzed by the researcher. According to the opinion of entrepreneurs and using the Delphi technique, 14 components affecting entrepreneurial talent were identified and classified into five groups. The research results show that among the five factors affecting entrepreneurial talent, according to experts, creative talent has the most impact, and the talent to limit mental uncertainty and the ability to discover and take advantage of opportunities are in the next ranks. Manuscript profile -
Open Access Article
32 - Identifying and Assessing Relationships between Variables Affecting Innovation in Petrochemical Companies Using DEMATEL Fuzzy Technique
Rahim Ghasemiye Mehdi HashemiThe 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 MoreThe 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 -
Open Access Article
33 - Designing a Model for Transfer of Nanotechnology and the Relevant Knowledge Using Fuzzy Delphi Method
Saeed ShokohiNanotechnology plays an important role in the scientific, economic, and political development of countries, so that adapting to today's dynamic world and becoming the leading power in the Middle East and a pioneer in this field is subject to the acquisition of nanotechn MoreNanotechnology plays an important role in the scientific, economic, and political development of countries, so that adapting to today's dynamic world and becoming the leading power in the Middle East and a pioneer in this field is subject to the acquisition of nanotechnology and the related knowledge. One of the short-term, urgent and effective methods for obtaining knowledge and technology concerned with nanotechnology is technology transfer but despite its outstanding importance, little attention has been paid. On the other hand, in extraordinary circumstances imposed by the sanctions against Iran, the urgency of this issue increases, since the technical and knowledge interactions under sanctions are harder and more complex. Also, the possibility of complete transfer of knowledge and technology, especially in the field of high technologies such as nanotechnology decreases. Therefore, this study has aimed to design a customized model for Iran to facilitate making accurate and wise decisions about transfer of nanotechnology and the knowledge associated with that technology. To achieve this goal, three basic steps have been taken. First, eighteen major factors influencing the transfer of knowledge and technology of nano has been identified. Then, these factors have been weighed. Finally, they have been categorized into five clusters that are: 1. Technology source, 2. Technology receiver, 3. Technology process, 4. Technology nature, 5. Technology environment. It is notable that this classification has been based on open systems approach. Manuscript profile -
Open Access Article
34 - 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 KariminiaIn 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 MoreIn 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 -
Open Access Article
35 - A Performance Assessment Model for Business Intelligence by using Fuzzy Analysis
MohammadHosein Ronaghi Kamran FeyziBusiness 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 MoreBusiness 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 -
Open Access Article
36 - 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 mahdaviScience 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 MoreScience 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 -
Open Access Article
37 - 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 ghaffariThe 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 MoreThe 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 -
Open Access Article
38 - Identifying And Prioritizing The Factors Affecting The Success Of University Entrepreneurship With Hesitant Fuzzy TOPSIS Approach
ali Morovati elham mofatehzadeh mehrdad kianiTodays, 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 MoreTodays, 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 -
Open Access Article
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 FarahmandThe 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 MoreThe 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 -
Open Access Article
40 - Performance Analysis and Activity Deviation Discovery in Event Log Using Process Mining Tool for Hospital System
Shanmuga Sundari M Rudra Kalyan Nayak Vijaya Chandra Jadala Sai Kiran PasupuletiAll service and manufacturing businesses are resilient and strive for a more efficient and better end in today's world. Data mining is data-driven and necessitates significant data to analyze the pattern and train the model. Assume the data is incorrect and was not coll MoreAll service and manufacturing businesses are resilient and strive for a more efficient and better end in today's world. Data mining is data-driven and necessitates significant data to analyze the pattern and train the model. Assume the data is incorrect and was not collected from reliable sources, causing the analysis to be skewed. We introduce a procedure in which the dataset is split into test and training datasets with a specific ratio to overcome this challenge. Process mining will find the traces of actions to streamline the process and aid data mining in producing a more efficient result. The most responsible domain is the healthcare industry. In this study, we used the activity data from the hospital and applied process mining algorithms such as alpha miner and fuzzy miner. Process mining is used to check for conformity in the event log and do performance analysis, and a pattern of accuracy is exhibited. Finally, we used process mining techniques to show the deviation flow and fix the process flow. This study showed that there was a variation in the flow by employing alpha and fuzzy miners in the hospital. Manuscript profile -
Open Access Article
41 - 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 khoraseganiA 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 MoreA 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
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 khoraseganiA 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 MoreA 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
43 - Investigation and Ranking of Proper Inter-Organizational Theories in Supply Chain Management (SCM) with Fuzzy Analytical Hierarchy Process (FAHP)
فاطمه شخصیان سید محمد صادق خاکسارOne 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 MoreOne 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 -
Open Access Article
44 - 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 رادDue 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 MoreDue 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 -
Open Access Article
45 - Reviewing the role of knowledge management tools in employee empowerment using Fuzzy AHP (Case study in knowledge-based companies located on science and technology parks)
میثم جعفری حامد نوذری محمد ابراهیم صادقی سید سعید منجم زادهEmployees are critical factors for organization survival Therefore, empowering of them can play an important role in increasing the competitiveness of organizations. Studies show that five dimensions are effective in empowering which includes: "work meaning", "competenc MoreEmployees are critical factors for organization survival Therefore, empowering of them can play an important role in increasing the competitiveness of organizations. Studies show that five dimensions are effective in empowering which includes: "work meaning", "competence", "self-determination", "impact" and "trust". Knowledge management is one of the issues connected to human resource management and employee empowerment and various tools are used in processes related to knowledge management in organizations. The aim of this study is evaluation of knowledge management tools in employee empowerment. Therefore, seven knowledge management tools were selected by asking experts’ point of views. The statistical population of this study was considered the Knowledge-based companies located in science and technology parks and ultimately 43 questionnaires were studied. In this study Fuzzy AHP were used in order to ranking of seven tools of knowledge management. Results shows that among of seven tools “by asking experts’ point of view” and “In-service training” have greatest effect on employee empowerment and “Job Rotation” and “impact” have minimal effect on employee empowerment Manuscript profile -
Open Access Article
46 - A New Approach Based on Failure Mode and Effects Analysis and Kepland to Extract and Prioritize the Effective risks on Project Completion Time
mojtaba salehiAbstract Projects are planned based on estimated amounts that are the result of having little information about the future plans. According to the uncertainty of planning, time delays and costs of uncertainty are inevitable. The main objective of this study is to prese MoreAbstract Projects are planned based on estimated amounts that are the result of having little information about the future plans. According to the uncertainty of planning, time delays and costs of uncertainty are inevitable. The main objective of this study is to present a new approach based on failure mode and effects analysis and fuzzy logic to identify the affecting risks on duration of projects and ranking them using Kepland technique. In addition, in this research Shannon entropy is used for calculation of the weights of indexes. So after the study of related researches as well as through interviews and Delphi technique, some risks were identified. Then, based on three indicators of risk in the FMEA (severity, probability of occurrence, probability of detection), three questionnaire was prepared and their validity was confirmed by experts and reliability was calculated by Cronbach coefficient using SPSS software. The population of the study is 22 managers and experts that work on Debal Khazaei Company. Using triangular fuzzy numbers, the verbal variables of questionnaires became fuzzy numbers. Shannon entropy is used for calculation of weight of each index. Then, using decision making methods, ELECTRE TAXONOMY, TOPSIS and SAW, the risks are ranked. Finally, because of the relative difference of ranking in different techniques, Kapland technique is used to combine the results. TO help for developing the strategies of responding to the risks, some suggestions are presented. The contribution of this research is the simultaneous use of FMEA and Shannon's entropy to analisys the importance of risks and the ranking of them using Kepland technique. Manuscript profile -
Open Access Article
47 - 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 dabaghianThe 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 MoreThe 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 -
Open Access Article
48 - An Integrated DEMATEL and Fuzzy ANP Techniques Based Assessment Model For Intrapreneurship with Approach EFQM
Kazem Nasiri Kashani Fazlolah Jamalou Leila KianiIn 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 MoreIn 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 -
Open Access Article
49 - 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 MoreIn 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 -
Open Access Article
50 - 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 RezaeeThe 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 MoreThe 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 -
Open Access Article
51 - 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 yousefiPaper 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 MorePaper 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 -
Open Access Article
52 - Developing and explaining of the performance enhancing model of company based on the effective components of intellectual capital and organization entrepreneurship
mirza hasan hosseini Aliakbar Jowkar Zynolabdin Rahmani Elham KeshavarzAccording to importance of subject, the aim of this study is to evaluate and rank factors of intellectual capital and organization entrepreneurship that aims to improve the performance of corporation. Therefore, after reviewing the literature and interviews with profess MoreAccording to importance of subject, the aim of this study is to evaluate and rank factors of intellectual capital and organization entrepreneurship that aims to improve the performance of corporation. Therefore, after reviewing the literature and interviews with professors and coil industry experts, intellectual capital, organization entrepreneurship and firm performance factors were identified. After designing and distributing questionnaires among coil industry experts, priority and importance of each of these factors with using Fuzzy TOPSIS, FAHP, vikor, ELECTRE were evaluated. According to the results of the above methods in cases not compatible with each other, to achieve the overall ranking of integration methods (POSET) that includes: rating average method, Borda method, Copeland method and integration phase (POSET) has been used. The results obtained from FAHP method, according to the company's performance improvement indicate that the net profit is the most important subcategory of the factors affecting corporate performance improvement; competitive advantages, customer retention, market value of the company; innovation capacity and volume of transaction are at ranking highest respectively. The results obtained from FAHP method indicate that organization entrepreneurship is more significant than intellectual capital of the factors affecting corporate performance improvement. Different Ratings have offered for intellectual capital and sub-scales of Human capital, Structural Capital, Relational Capital, Innovation Capital and Customer Capital factors. To reach a consensus, it was used in the ranking of integration (POSET) method and based on integration (POSET) method is most important factors of intellectual capital that helps to improve company performance improvement in order of importance include: Human capital, Structural Capital, Relational Capital, Innovation Capital, Customer Capital factors and also, the most important factors of Human capital, Structural Capital, Relational Capital, Innovation Capital, Customer Capital regarding to company performance improvement in order of importance Include: Leadership ability, Employees’ competence, Employees’ experience, Employees’ creativity, Individual-level knowledge, Customer satisfaction, Motivation of the personnel, Customer loyalty, Employees’ attitude, Organizational structure, Staff’s experience, Organizational learning, Marketing capability, Databases, Management system, Use of knowledge, Strategically values, Operation process, Information system, Corporate culture, Brand value, Mission-vision, Relationship with suppliers and competitors, Size of organization, Innovation culture, Relationship with other organization, Market intensity, Company lifecycle, Customer appropriateness, Innovation mechanism and Innovation achievements. based on integration (POSET) method is most important factors of organization entrepreneurship that helps to improve company performance improvement in order of importance include: structural factors, underlying factors, behavioral factors and also, the most important factors of structural factors, underlying factors, behavioral factors regarding to company performance improvement in order of importance Include: Entrepreneur organization structure, Entrepreneur organization strategy. Reward system, Political/ governmental factors, Decision making/control, Infrastructure, Organizational culture, Management Support, Communications, Financial system , Availability to resource, Technology, Performance evaluation system, Uncertainty/ changes, Employee empowerment, Information system , Complexity, Research and development system , Risk Taking, Market, Employee's characteristics , Team spirit, Manager characteristics, Foresight , Self-Efficacy ,Creativity and innovation, Previous experience and Entrepreneur Organization leadership style Manuscript profile -
Open Access Article
53 - 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 FarmaniRecently, 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 MoreRecently, 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 -
Open Access Article
54 - A model to collaborate on R&D projects based on TRL
Hassan Torabi Hossein Dehghani poodeh Mohsen Cheshmberah Mohammad Hussein Karimi gavareshki Reza i HosnavRegarding 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 MoreRegarding 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 -
Open Access Article
55 - 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 AvatiNowadays, 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 MoreNowadays, 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 -
Open Access Article
56 - Provide a multi-objective mathematical programming model for supplier selection in discounted status
Abbas Shoul ali yaghoubipoor laleh abbasloIn 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 MoreIn 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 -
Open Access Article
57 - Identification the components of Distinguishing management using Delphi fuzzy technique
Seyyed Najmuddin Mousavi Ali shariat nejadThe 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 MoreThe 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 -
Open Access Article
58 - 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 MoreIn 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 -
Open Access Article
59 - Analysis of Factors Affecting Stock Selection Using Logarithmic Fuzzy Preference Programming Approach
Daryush Farid َAbolfazl Dehghani firoozabadi Davood Andalib Ardakani hamidreza mirzaeiThe 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 MoreThe 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 -
Open Access Article
60 - 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 مقبلFrom 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 MoreFrom 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 -
Open Access Article
61 - Examining solutions to deal with the shortage of cyberspace security experts in the country
Mohammad fathian Mehdi Abolhamid mohammadreza rafeeiExpert 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 MoreExpert 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 -
Open Access Article
62 - A model for evaluating green marketing in the insurance industry
aigin ghorbani ameneh khadivar leili niakanThe 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 MoreThe 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 -
Open Access Article
63 - Prioritizing obstacles of industry - university interaction in order to develop of intelligent urban transportation infrastructures using Fuzzy AHP
Hamzeh Amin-Tahmasbi aboozar ghorbaniAny 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 MoreAny 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 -
Open Access Article
64 - Transmission Expansion Planning in a Deregulated Power System Using Multiobjective Differential Evolution Algorithm
f. rashidiTransmission 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 MoreTransmission 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 -
Open Access Article
65 - A Cloud-based Learnable Agent-oriented Approach to Control and improve Pacemaker Operation
H. Banki نگار مجمع A. MonadjemiThis 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 MoreThis 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 -
Open Access Article
66 - 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 MoreMobile 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 -
Open Access Article
67 - 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. SoltanpourIn 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 MoreIn 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 -
Open Access Article
68 - Propose a Proper Algorithm for Incremental Learning Based on Fuzzy Least Square Twin Support Vector Machines
Javad Salimi Sartakhti Salman GoliSupport 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 MoreSupport 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 -
Open Access Article
69 - Improving Energy Consumption in Wireless Sensor Networks Using Shuffled Frog Leaping Algorithm and Fuzzy Logic
Shayesteh TabatabaeyWireless 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 MoreWireless 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 -
Open Access Article
70 - A Hybrid Long-Term Probabilistic Net Load Forecasting Approach Considering Renewable Energies Power in Smart Grids
Mohsen Jahantigh majid moazzamiWith 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 MoreWith 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 -
Open Access Article
71 - Design and Implementation of Fuzzy Sliding Mode Controller for Motion Control of an Electric Shake Table Using Adaptive Extended Kalman Filter
Nima rajabi Ramazan HavangiIn 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 MoreIn 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 -
Open Access Article
72 - 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 hadavinejadThe 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 MoreThe 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 -
Open Access Article
73 - Identification and Ranking of Factors Affecting the Reduce Motivation of Knowledge Workers (Case study: Research Institute of Petroleum Industry)
ebrahim rajabpurConsidering the role of knowledge workers in knowledge-based organizations and the importance of the motivation of this group of employees to enhance the effectiveness and efficiency of the organization; the main objective of the research, identifying and ranking the MoreConsidering the role of knowledge workers in knowledge-based organizations and the importance of the motivation of this group of employees to enhance the effectiveness and efficiency of the organization; the main objective of the research, identifying and ranking the factors affecting the reduction of the motivation of knowledge workers and providing a model for its improvement at the Research Institute of Petroleum Industry. After reviewing the research literature and using the experts' opinions, the final research model was prepared. This research is quantitative in terms of its approach, in terms of orientation, applied and in terms of strategy, survey. The statistical population of the research is managers, faculty members and researchers of the research institute of petroleum industry. Fuzzy hierarchy analysis technique was used to rank the identified factors and was used by experts. The results of the research indicate that the most important factors affecting the reduction of motivation of knowledge workers in order of priority are the lack of opportunities for improvement and progress; lack of challenging tasks; lack of freedom of action and independence; the process of evaluating the uncertain performance of employees; low salaries and benefits; Lack of managerial support; lack of direct communication with the manager; and willing co-workers. Manuscript profile -
Open Access Article
74 - Factors Influencing the Selection of Human Capital Compatible with the Fourth Generation Industrial Revolution Using Fuzzy DEMATEL Method
mohammad amin aeinyThe 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 MoreThe 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 -
Open Access Article
75 - Designing an Integrated Development Model for Electronic Banking Services Innovation Based on Dynamic Capabilities Using Fuzzy MICMAC
Ali Etemadifard kamal tabaeian Nazanin Pilevari Abbas KhamsehToday, 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 MoreToday, 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 -
Open Access Article
76 - Prioritization of Professional Competencies of Mathematics lecturers of Farhangian University through topsis fuzzy
marjan moayeri parvaneh amiripourThe 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 MoreThe 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 -
Open Access Article
77 - Determining factors affecting human recourses recruitment in order to increase productivity in Iran Public agencies
Raha Noori Naeini Gholamreza Memarzadeh Mahmood AlborziThe 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 MoreThe 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 -
Open Access Article
78 - Sonic wave velocity estimation using intelligent system and multi resolution graph base clustering: A case study from one of Iranian south field
مرتضی نوری مینا کریمی خالدیAbstract Compressional and shear velocity are two fundamental parameters, which have many applications in petrophysical, geophysical, and geomechanical operations. These two parameters can be obtained using Dipole Sonic Imaging tool (DSI), but unfortunately this tool MoreAbstract Compressional and shear velocity are two fundamental parameters, which have many applications in petrophysical, geophysical, and geomechanical operations. These two parameters can be obtained using Dipole Sonic Imaging tool (DSI), but unfortunately this tool is run just in few wells of a field. Therefore it is important to predict compressional and shear velocity indirectly from the other conventional well logs that have good correlation with these parameters in wells without these logs. Classical methods to predict the mentioned parameters are utilizing correlations and regression analysis. However, the best tool is intelligent systems including Artificial Neural Network, Fuzzy Logic, Adaptive Neuro Fuzzy Inference System, and Multi resolution graph base clustering for performing such tasks. In this paper 1321 data points from Kangan and Dalan formations which have compressional and shear velocity are used. These data are divided into two groups: 995 and 326 data points were used for construction of intelligent systems and model testing, respectively. The results showed that despite differences in concept, all of the intelligent techniques were successful for estimation of compressional and shear velocities. The Multi resolution graph base clustering. The method had the best performance among the others due to precise clustering the data points. Using this method, the compressional and shear velocity were correlated with correlation factor of 0.9505 and 0.9407, respectively. The developed model does not incorporate depth or lithological data as a part of the inputs to the network. This means that utilized methodology is applicable to any field. Manuscript profile -
Open Access Article
79 - Secondary porosity index effect on improving approaches permeability estimation from petrophysical logs utilizing artificial intelligent
سجاد کاظم شیرودی مرتضی خانیانAbstract 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 MoreAbstract 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 -
Open Access Article
80 - 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 رجبیPrediction 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 MorePrediction 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 -
Open Access Article
81 - 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 MemarianPrediction 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 MorePrediction 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 -
Open Access Article
82 - 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 FarahaniPrediction 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 MorePrediction 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 -
Open Access Article
83 - Computational Model for Image Processing in the Minds of People with Visual Agnosia using Fuzzy Cognitive Map
Elham Askari Sara MotamedThe Agnosia is a neurological condition that leads to an inability to name, recognize, and extract meaning from the visual, auditory, and sensory environment, despite the fact that the receptor organ is perfect. Visual agnosia is the most common type of this disorder. P MoreThe Agnosia is a neurological condition that leads to an inability to name, recognize, and extract meaning from the visual, auditory, and sensory environment, despite the fact that the receptor organ is perfect. Visual agnosia is the most common type of this disorder. People with agnosia have trouble communicating between the mind and the brain. As a result, they cannot understand the images seen. In this paper, a model is proposed that is based on the visual pathway so that it first receives the visual stimulus and then, after understanding, the object is identified. In this paper, a model based on the visual pathway is proposed and using intelligent Fuzzy Cognitive Map will help improve image processing in the minds of these patients. First, the proposed model that is inspired by the visual perception pathway, is designed. Then, appropriate attributes that include the texture and color of the images are extracted and the concept of the seen image is perceived using Fuzzy Cognitive Mapping, the meaning recognition and the relationships between objects. This model reduces the difficulty of perceiving and recognizing objects in patients with visual agnosia. The results show that the proposed model, with 98.1% accuracy, shows better performance than other methods. Manuscript profile -
Open Access Article
84 - Factors Influencing the Realization of the Green Supply Chain in Iran’s Tourism Industry
Mohammad Hossein Imani khoshkho seyed mohammad mousaviThis research identified and mapped a model of critical factors to realize the green supply chain of tourism industry. Studying the literature and research background, effective factors on the emergence of the green supply chain were identified. In the quantitative phas MoreThis research identified and mapped a model of critical factors to realize the green supply chain of tourism industry. Studying the literature and research background, effective factors on the emergence of the green supply chain were identified. In the quantitative phase, 100 stakeholders from the tourism industry were selected and were surveyed to identify critical factors in the green supply chain of the tourism industry. Questionnaires were used for data gathering. To analyze the research data, using the statistical analysis and t-test, the coefficient of the significance of the components was determined. To prioritize the indicators and their cause and effect, the Fuzzy Dematel technique was used in the second phase. The results of the analysis showed that all of the 33 identified factors were critical and essential. The analysis of the factors influencing the management of suppliers showed that among the 6 factors, the following three were root causes of the green supply chain: a) providing encouraging services to the supplier to pay attention to and protect the environment; b) considering the environmental characteristics as Quality Requirements Provider; and c) holding meeting with Suppliers. Meanwhile, three other factors are short-term goals in the green supply chain. They included: a) helping suppliers to solve their environmental problems; b) paying attention to environmental principles and adhering to them in holding tenders; and c) efforts to reduce environmental impacts through the timely delivery of supply commitments. Manuscript profile -
Open Access Article
85 - Key Success Factors of Crowdsourcing in in Developing Tourism Destination Capabilities: A Case Study of Yazd City
Hamed Fallah Tafti Mahdieh Zahmatkesh Saredorahi بهاره گورنگیToday, 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 MoreToday, 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 -
Open Access Article
86 - Investigating the Efficiency of Iran's Tourism Industry in Different Climates
maryam asadpour kordi hamid amirnejad seyed hadi naseri ojaki somayeh shirzadi laskukalayehAs 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 MoreAs 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 -
Open Access Article
87 - " 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"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 -
Open Access Article
88 - Identifying and Prioritizing Development Steps of Cultural Tourism in Lorestan Province Rural Areas
zeinab asadporiyan yaser mohamadi mehdi rahimianThis 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 MoreThis 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 -
Open Access Article
89 - Evaluation of the causal model of effective criteria on modern rural management with fuzzy demitel approach
Ahmad hajarianThe 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 MoreThe 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 -
Open Access Article
90 - Two Fuzzy Virtual Force Algorithms to Improve Sensor Deployment in Wireless Sensor Networks
Vahid KianiMaximizing 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 MoreMaximizing 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 -
Open Access Article
91 - 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 SajedinejadFailure 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 MoreFailure 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 -
Open Access Article
92 - Identifying social banking innovation process components with digital transformation approach by fuzzy Delphi method
َAli Mahmoodi Abbas Khamseh Mehrdad Hosseini ShakibThis 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 MoreThis 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 -
Open Access Article
93 - 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. RaeisiSarbisheh 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 MoreSarbisheh 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 -
Open Access Article
94 - Determination of Potato Crop Cultivation in Hamedan Province, Using time series Satellite Images IRSP6
Ali shahbazi Loghman khodakrami kamran nasirahmadiThe aim of this study is to detect and quantify the cultivated area of potato fields in Hamadan Province using remote sensing methods and a time series of satellite photos. As a result, Awifs time-series imaging was used to determine the potato cropping area. For this p MoreThe aim of this study is to detect and quantify the cultivated area of potato fields in Hamadan Province using remote sensing methods and a time series of satellite photos. As a result, Awifs time-series imaging was used to determine the potato cropping area. For this purpose, pictures were taken at three different times when the potato plant turned green and yellow. Processing such as preparation, atmospheric and geometric correction, vegetation index, and unsupervised classification were performed on the images using appropriate training sites for supervised classification. Following the integration of these two layers, the studied area under the cropping map was prepared using the phase classification method. Additionally, by using the vegetation indices NDVI and SAVI, the area under cropping for the three main crop yields is determined first using the threshold level technique and in three temporal intervals. The kapa coefficient for potato under cropping area determined by phase classification, NDVI, and SAVI was 90, 87, and 85%, respectively. In 1998, the potato cropping area was determined to be 38740, 36728, and 36614 acres, respectively. This study clearly shows that the phase classification method and Awif data time series can be used to recognize and estimate potato under cropping area with acceptable precision and that vegetation indices distinguish potato under cropping area faster. Manuscript profile -
Open Access Article
95 - 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 MoreGreen 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 -
Open Access Article
96 - Identifying the Key Drivers of Digital Signature Implementation in Iran (using fuzzy Delphi method)
Ghorbanali Mehrabani Fatemeh Zargaran khouzaniiThe 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 MoreiThe 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 -
Open Access Article
97 - Designing an organizational ethics evaluation model in small and medium industries
ali mehdizadehashrafi Majid Jahangir Fard Touraj Mojibi Nasrin Jamali MonfaredThe 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 MoreThe 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 -
Open Access Article
98 - Determining factors affecting human recourses recruitment in order to increase productivity in Iran Public agencies
رها نوری نائینی Gholamreza Memarzadeh Mahmood AlborziThe 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 MoreThe 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 -
Open Access Article
99 - An approach to prioritize quality dimensions of based on cloud computing using Multiple Criteria Decision Making method
Zahra Abbasi Somayeh Fatahi Mohammad Javad ErshadiToday, 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 MoreToday, 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
100 - Proposing an FCM-MCOA Clustering Approach Stacked with Convolutional Neural Networks for Analysis of Customers in Insurance Company
Motahareh Ghavidel meisam Yadollahzadeh tabari Mehdi GolsorkhtabaramiriTo create a customer-based marketing strategy, it is necessary to perform a proper analysis of customer data so that customers can be separated from each other or predict their future behavior. The datasets related to customers in any business usually are high-dimension MoreTo create a customer-based marketing strategy, it is necessary to perform a proper analysis of customer data so that customers can be separated from each other or predict their future behavior. The datasets related to customers in any business usually are high-dimensional with too many instances and include both supervised and unsupervised ones. For this reason, companies today are trying to satisfy their customers as much as possible. This issue requires careful consideration of customers from several aspects. Data mining algorithms are one of the practical methods in businesses to find the required knowledge from customer’s both demographic and behavioral. This paper presents a hybrid clustering algorithm using the Fuzzy C-Means (FCM) method and the Modified Cuckoo Optimization Algorithm (MCOA). Since customer data analysis has a key role in ensuring a company's profitability, The Insurance Company (TIC) dataset is utilized for the experiments and performance evaluation. We compare the convergence of the proposed FCM-MCOA approach with some conventional optimization methods, such as Genetic Algorithm (GA) and Invasive Weed Optimization (IWO). Moreover, we suggest a customer classifier using the Convolutional Neural Networks (CNNs). Simulation results reveal that the FCM-MCOA converges faster than conventional clustering methods. In addition, the results indicate that the accuracy of the CNN-based classifier is more than 98%. CNN-based classifier converges after some couples of iterations, which shows a fast convergence in comparison with the conventional classifiers, such as Decision Tree (DT), Support Vector Machine (SVM), K-Nearest Neighborhood (KNN), and Naive Bayes (NB) classifiers. Manuscript profile -
Open Access Article
101 - 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 AruznaqThe 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 MoreThe 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
102 - Using Fuzzy Values in the Whale Method to Solve the Problem of Locating Terminal Locations
Mehdi Fazli haasan hoseinzadehIn this article, fuzzy values are used in the meta-heuristic method to locate the location of the terminal facility. This article is written based on a modern method inspired by nature called Whale Algorithm and it is tested on scientific optimization problems and model MoreIn this article, fuzzy values are used in the meta-heuristic method to locate the location of the terminal facility. This article is written based on a modern method inspired by nature called Whale Algorithm and it is tested on scientific optimization problems and modeling problems. To evaluate the performance of the proposed method, fuzzy coefficients have been applied to solve the location allocation problem, in such a way that the hypotheses of the problem, fuzzy random variables and the capacity of each center are considered unlimited. According to the results of this research, the problem of locating the terminal locations is practically solved and the optimal location of these facilities is proposed in the real world. Also, the numerical optimization results show that the proposed method has a better performance than similar methods Manuscript profile -
Open Access Article
103 - Fuzzy Multicore Clustering of Big Data in the Hadoop Map Reduce Framework
Seyed Omid Azarkasb Seyed Hossein Khasteh Mostafa AmiriA logical solution to consider the overlap of clusters is assigning a set of membership degrees to each data point. Fuzzy clustering, due to its reduced partitions and decreased search space, generally incurs lower computational overhead and easily handles ambiguous, no MoreA logical solution to consider the overlap of clusters is assigning a set of membership degrees to each data point. Fuzzy clustering, due to its reduced partitions and decreased search space, generally incurs lower computational overhead and easily handles ambiguous, noisy, and outlier data. Thus, fuzzy clustering is considered an advanced clustering method. However, fuzzy clustering methods often struggle with non-linear data relationships. This paper proposes a method based on feasible ideas that utilizes multicore learning within the Hadoop map reduce framework to identify inseparable linear clusters in complex big data structures. The multicore learning model is capable of capturing complex relationships among data, while Hadoop enables us to interact with a logical cluster of processing and data storage nodes instead of interacting with individual operating systems and processors. In summary, the paper presents the modeling of non-linear data relationships using multicore learning, determination of appropriate values for fuzzy parameterization and feasibility, and the provision of an algorithm within the Hadoop map reduce model. The experiments were conducted on one of the commonly used datasets from the UCI Machine Learning Repository, as well as on the implemented CloudSim dataset simulator, and satisfactory results were obtained.According to published studies, the UCI Machine Learning Repository is suitable for regression and clustering purposes in analyzing large-scale datasets, while the CloudSim dataset is specifically designed for simulating cloud computing scenarios, calculating time delays, and task scheduling. Manuscript profile -
Open Access Article
104 - Nonlinear Fractional Intelligent Controller for Photovoltaic Inverters
Hadi Delavari Sara Arjmandpour<p style="text-align: justify; padding-right: 30px;"><!-- [if gte mso 9]><xml> <o:OfficeDocumentSettings> <o:TargetScreenSize>800x600</o:TargetScreenSize> </o:OfficeDocumentSettings> </xml><![endif]--><!-- [if gte mso 9]><xml> <w:WordDocument> <w:View>Norma More<p style="text-align: justify; padding-right: 30px;"><!-- [if gte mso 9]><xml> <o:OfficeDocumentSettings> <o:TargetScreenSize>800x600</o:TargetScreenSize> </o:OfficeDocumentSettings> </xml><![endif]--><!-- [if gte mso 9]><xml> <w:WordDocument> <w:View>Normal</w:View> <w:Zoom>0</w:Zoom> <w:TrackMoves/> <w:TrackFormatting/> <w:PunctuationKerning/> <w:ValidateAgainstSchemas/> <w:SaveIfXMLInvalid>false</w:SaveIfXMLInvalid> <w:IgnoreMixedContent>false</w:IgnoreMixedContent> <w:AlwaysShowPlaceholderText>false</w:AlwaysShowPlaceholderText> <w:DoNotPromoteQF/> <w:LidThemeOther>EN-US</w:LidThemeOther> <w:LidThemeAsian>X-NONE</w:LidThemeAsian> <w:LidThemeComplexScript>FA</w:LidThemeComplexScript> 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Name="List 4"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="List 5"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="List Bullet 2"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="List Bullet 3"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="List Bullet 4"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="List Bullet 5"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="List Number 2"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="List Number 3"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="List Number 4"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="List Number 5"/> <w:LsdException Locked="false" Priority="10" QFormat="true" Name="Title"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="Closing"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="Signature"/> <w:LsdException Locked="false" Priority="0" SemiHidden="true" UnhideWhenUsed="true" Name="Default Paragraph Font"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="Body Text"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="Body Text Indent"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="List Continue"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="List Continue 2"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="List Continue 3"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="List Continue 4"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="List Continue 5"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="Message Header"/> <w:LsdException 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Name="Block Text"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="Hyperlink"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="FollowedHyperlink"/> <w:LsdException Locked="false" Priority="22" QFormat="true" Name="Strong"/> <w:LsdException Locked="false" Priority="20" QFormat="true" Name="Emphasis"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="Document Map"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="Plain Text"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="E-mail Signature"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="HTML Top of Form"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="HTML Bottom of Form"/> <w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true" Name="Normal (Web)"/> <w:LsdException Locked="false" SemiHidden="true" 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Name="Light List"/> <w:LsdException Locked="false" Priority="62" Name="Light Grid"/> <w:LsdException Locked="false" Priority="63" Name="Medium Shading 1"/> <w:LsdException Locked="false" Priority="64" Name="Medium Shading 2"/> <w:LsdException Locked="false" Priority="65" Name="Medium List 1"/> <w:LsdException Locked="false" Priority="66" Name="Medium List 2"/> <w:LsdException Locked="false" Priority="67" Name="Medium Grid 1"/> <w:LsdException Locked="false" Priority="68" Name="Medium Grid 2"/> <w:LsdException Locked="false" Priority="69" Name="Medium Grid 3"/> <w:LsdException Locked="false" Priority="70" Name="Dark List"/> <w:LsdException Locked="false" Priority="71" Name="Colorful Shading"/> <w:LsdException Locked="false" Priority="72" Name="Colorful List"/> <w:LsdException Locked="false" Priority="73" Name="Colorful Grid"/> <w:LsdException Locked="false" Priority="60" Name="Light Shading Accent 1"/> <w:LsdException Locked="false" Priority="61" Name="Light List Accent 1"/> 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Priority="33" QFormat="true" Name="Book Title"/> <w:LsdException Locked="false" Priority="37" SemiHidden="true" UnhideWhenUsed="true" Name="Bibliography"/> <w:LsdException Locked="false" Priority="39" SemiHidden="true" UnhideWhenUsed="true" QFormat="true" Name="TOC Heading"/> <w:LsdException Locked="false" Priority="41" Name="Plain Table 1"/> <w:LsdException Locked="false" Priority="42" Name="Plain Table 2"/> <w:LsdException Locked="false" Priority="43" Name="Plain Table 3"/> <w:LsdException Locked="false" Priority="44" Name="Plain Table 4"/> <w:LsdException Locked="false" Priority="45" Name="Plain Table 5"/> <w:LsdException Locked="false" Priority="40" Name="Grid Table Light"/> <w:LsdException Locked="false" Priority="46" Name="Grid Table 1 Light"/> <w:LsdException Locked="false" Priority="47" Name="Grid Table 2"/> <w:LsdException Locked="false" Priority="48" Name="Grid Table 3"/> <w:LsdException Locked="false" Priority="49" Name="Grid Table 4"/> <w:LsdException Locked="false" 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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
105 - Evaluation of the causal model of effective criteria on modern rural management with fuzzy demitel approach
ahmad hajarianThe 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 MoreThe 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
106 - 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 MehraraThe 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 MoreThe 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
107 - Identifying the Key Drivers of Digital Signature Implementation in Iran (Using Fuzzy Delphi Method)
Ghorbanali Mehrabani Fatemeh Zargaran khouzaniDespite 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 MoreDespite 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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