List of Articles تحلیل سلسله مراتبی فازی

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  1 - A Performance Assessment Model for Business Intelligence by using Fuzzy Analysis
  MohammadHosein Ronaghi Kamran Feyzi
  Business intelligence (BI) is the tool used by enterprises to collect, manage and analyze structural and non-structural data and also information by taking advantage of modern information technology. It utilizes a substantial amount of collected data during the daily op More

  Business intelligence (BI) is the tool used by enterprises to collect, manage and analyze structural and non-structural data and also information by taking advantage of modern information technology. It utilizes a substantial amount of collected data during the daily operational processes, and transforms the data into information and knowledge to avoid the supposition and ignorance of the enterprises. In the last decade, Business intelligence has evolved as one of the critical applications in organizations to provide useful insight, support decision-making, and drive organizational performance. However, to avoid the ineffective experiences during the deployment, it is important to clarify the impact factors of a BI system and find out a Suitable assessment method to evaluate the performance of BI systems. Evaluating the effectiveness of business intelligence systems is vital to our understanding of the value and efficacy of management actions and investments. This research is a descriptive survey. We construct an Assessment model to assess the performance of business intelligence systems based on the outcomes of previous researches. Furthermore, an expert questionnaire using fuzzy analytic hierarchy process (AHP) was used to filter out useful performance indicators. The analytic hierarchy process is a structured technique for organizing and analyzing complex decisions. Finally, we analyze a real case by using the constructed assessment model for Business Intelligence systems. We choose an automotive parts manufacturer as a case. The survey sample population consisted of 66 randomly taken employees and managers of the case. The results indicate that the performance of Business Intelligence system in our case was suitable. Manuscript profile
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  2 - Identification and Evaluation of Effective Factors of Technology Transfer Using Fuzzy AHP Method (case study: Esfahan’s Mobarakeh Steel Company)
  Mohammad bagheri pebdeni sayyed mohammad reza davoodi
  10.7508/jstpi.2018.01.008
  In developed countries, technology transfer may be one of the solutions for the improvement or growth of economic or industrial sectors. However, the success of technology transfer significantly depends on the appropriate choice of technology from the appropriate resour More

  In developed countries, technology transfer may be one of the solutions for the improvement or growth of economic or industrial sectors. However, the success of technology transfer significantly depends on the appropriate choice of technology from the appropriate resources.The aim of this study is to identify and evaluate the effective factors of technology transfer using fuzzy AHP method. Technology transfer can be helpful for this organization in market share and increasing return through innovation of products and better execution of processes, methods of increasing productivity and effectiveness, and this is beneficial to small and normal company’s with limited resources and sizes. In this paper, after reviewing the literature and using expert’s opinion, 24 effective factors is identified which are in 5 categories which includes is: relatively advantageous in financial conditions, advantage marketing and related forces, technical characteristics, juridical and supervision considerations and issues of directorial and guideline. Furthermore, fuzzy AHP method is used to rank the dimensions and structures of these effective factors. Due to the results, the most important criterion in the field of technology transfer of Esfahan’s mobarakeh steel company (MSC) and international organizations of subclasses of the main indicator is juridical and supervision considerations,of foreign investment and based on this the technical use and financing from international organizations and cooperative organizations that have laws about cooperation for improving the environment have an important role in technology transfer. Manuscript profile
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  3 - Developing a Performance evaluation model based on the Fuzzy Analytical Hierarchy process (FAHP) and the Balanced Scorecard (BSC) approach (Case Study one of the Iranian food industries)
  شیرین عادلی Rouzbeh Ghousi ramiar dabaghian
  The important role of food industries in promotion of the various health and economic indicators in the countries persuaded the industries involved in this affair to enforce fundamental reviews in the management approaches to enable them to perform the most efficient me More

  The important role of food industries in promotion of the various health and economic indicators in the countries persuaded the industries involved in this affair to enforce fundamental reviews in the management approaches to enable them to perform the most efficient methods for utilizing the limited available recourses to improve the society’s health and economic growth. The balanced scorecard, as one of the successful tools in performance evaluation system, does not show the importance degree for the perspectives and the indicators under each perspective. To eliminate this deficiency the fuzzy analytic hierarchy process method is used in this research for weighting the perspectives and balanced scorecard indicators. In this study, first a list of performance evaluation indicators based on balanced scorecard approach was prepared and then the pairwise comparison was gained through field study and the standard AHP questionnaire with compatibility rate lower than 0.1. At the end the rate of balanced realization was evaluated for each. Regarding the pairwise comparison among perspectives done by the experts the customer perspective weighting 0.328 showed the maximum importance degree among other perspectives. The finance perspective weighting 0.290, the internal business process perspective weighting 0.239, and the learning and growth perspective weighting 0.143 were ranked as second to forth level respectively. According to the obtained certain weights, the added income comparison to the previous year weighing 0.121 was ranked in first level. The number of customer complains weighting 0.094, the customer satisfaction weighting 0.086 were ranked in second to fifth levels respectively. Manuscript profile
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  4 - Prioritize Allocating Budget For Civil Project In Ministry of Sience, Research and Technology Using Fuzzy Anatical Hierarchy Process and Fuzzy Topsis
  Alireza Aliahmadi Mohsenali  Shayanfar Mostafa Farmani
  Recently, decisions and debates related to it, such as the allocation of credits for planes and projects at the country level and at managerial levels, are a major issue in organizations, ministries and official institutions of the country. The proposed model for budget More

  Recently, decisions and debates related to it, such as the allocation of credits for planes and projects at the country level and at managerial levels, are a major issue in organizations, ministries and official institutions of the country. The proposed model for budget allocation is a tool for accelerating decision making by managers. In this research, which was conducted to prioritize development projects at Science Research and Technology ministry , in addition to the management decision making quicknessusing, it has been tried to answer the question ,which is the most appropriate choice among options available (projects) using multi-index models? This method is based on decision-making and decision-making matrix basis. To this end, in this research, a multi-index model is used to answer what factors are to be allocated This research studies how to design aeffective model for allocating credit to development of the construction projects in the Ministry of Science, Research and Technology using multi-criteria techniques. The purpose of this research is to identify and rank effective indicators on credit allocation and Their grading (importance coefficient) and choosing the optimal option and preparing a credit allocation model. After initial refinement among the indicators and criteria, using the fuzzy hierarchical process method and the fuzzy topisation method, which are the multi-Criteria decision-making methods and with the help of MATLAB software and other related software which is one of the most important tools for accelerating multi-criteria decision-making techniques, criteria and indicators are ranked and weighted. Manuscript profile
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  5 - Examining solutions to deal with the shortage of cyberspace security experts in the country
  Mohammad fathian Mehdi Abolhamid mohammadreza rafeei
  Expert workforce is one of the most important IT security assets that private and public sectors around the world are currently competing for. According to specialists, Iran is also facing the shortage of cyber security experts, which can lead to potentially serious pro More

  Expert workforce is one of the most important IT security assets that private and public sectors around the world are currently competing for. According to specialists, Iran is also facing the shortage of cyber security experts, which can lead to potentially serious problem. This study presents some solutions for this problem in Iran. In order to identify the solutions, literature was reviewed and semi-structured interviews were conducted through related various experts and specialists. Finally, strategies were prioritized by fuzzy analytic hierarchy process and solutions are investigated by importance-performance analysis. According to the results, specialists believe that workforce maintaining and training improvement are more important than other strategies. Training-recruitment plans, aptitude assessment plans, cyber security events and challenges, schools student targeted plans and improving policies and rules have been considered as more important solutions. Manuscript profile
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  6 - Prioritizing obstacles of industry - university interaction in order to develop of intelligent urban transportation infrastructures using Fuzzy AHP
  Hamzeh Amin-Tahmasbi aboozar ghorbani
  Any society to achieve real and sustainable development goals requires continuous interaction between scientific and technical institutions, takes form in the template of university and industry. In fact, universities are generating knowledge and transferring it to scho More

  Any society to achieve real and sustainable development goals requires continuous interaction between scientific and technical institutions, takes form in the template of university and industry. In fact, universities are generating knowledge and transferring it to scholars, the industry also works to apply knowledge and shares its expectations to university research teams, and they present their ideas, findings and outcomes to the industry. Transportation science also is no exception, and in recent years, it has introduced and implemented new technologies called Intelligent Transportation Systems (ITS) in universal level. Studies in Iran show that transferring knowledge between university and intelligent transportation industry face challenges and obstacles that have led industry owners to the direction of assembling imported components and escaping from universities. This study aims to explanation and interpretation of viewpoints of university and industry section experts about obstacles that affect transferring knowledge between these two institutions in line with implementation of intelligent urban transportation. In this research, firstgy determined effective indices of industry – university interaction obstacles by searching library and documentation resources. Fuzzy Delfi is used to sieve indices and identifying final submeasures. As 43 suggested obstacles were initially available to transportation science experts and by this technic, at first stage 27 obstacles and then, 15 obstacles were chosen for evaluation and ranking. Ranking was also done though fuzzy AHP. Results showed that lack of necessary infrastructures in ITS industry, and lack of applicability in science production areb the main obstacles of industry – university interaction in order to develop infrastructures of intelligent urban transportation Manuscript profile