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    • List of Articles روش‌های تصمیم‌گیری

      • Open Access Article

        1 - Developing a Decision Support System for Enterprise Risk Management in Tanavar Co.
        Narges Nemati Sina Nematizadeh
        Tanavar Co. has had problems in making strategic decisions, due to the lack of a systematic mechanism to manage risk events. Hence to facilitate the enterprise risk management (ERM) process, a decision support system which is able to support decision making at all stage More
        Tanavar Co. has had problems in making strategic decisions, due to the lack of a systematic mechanism to manage risk events. Hence to facilitate the enterprise risk management (ERM) process, a decision support system which is able to support decision making at all stages of risk management process has been developed. This research introduces a methodology which supports decision making in the whole process of enterprise risk management and in addition applies multiple attribute decision making (MADM) tools such as weighing method based on eigenvalue approach and TOPSIS method, fuzzy inference system and also integer programming. Applying MADM models for using qualitative, quantitative and sometimes contradictory criteria, and also using experiences and opinions of experts, requires a decision support system. Thus for implementation and validation of recommended model, a software has been developed and applied in Tanavar Co. and specifically in Enghelab sport complex. Manuscript profile
      • Open Access Article

        2 - Developing a Decision Support System for Enterprise Risk Management in Tanavar Co.
        Narges Nemati Sina Nematizadeh
        Tanavar Co. has had problems in making strategic decisions, due to the lack of a systematic mechanism to manage risk events. Hence to facilitate the enterprise risk management (ERM) process, a decision support system which is able to support decision making at all stage More
        Tanavar Co. has had problems in making strategic decisions, due to the lack of a systematic mechanism to manage risk events. Hence to facilitate the enterprise risk management (ERM) process, a decision support system which is able to support decision making at all stages of risk management process has been developed. This research introduces a methodology which supports decision making in the whole process of enterprise risk management and in addition applies multiple attribute decision making (MADM) tools such as weighing method based on eigenvalue approach and TOPSIS method, fuzzy inference system and also integer programming. Applying MADM models for using qualitative, quantitative and sometimes contradictory criteria, and also using experiences and opinions of experts, requires a decision support system. Thus for implementation and validation of recommended model, a software has been developed and applied in Tanavar Co. and specifically in Enghelab sport complex. Manuscript profile
      • Open Access Article

        3 - بررسی و ارزیابی سیاست‌های مسکن گروه‌های کم‌درآمد شهری (نمونه موردی: تبریز)
        محمد ملکوتی نیا علیرضا سلطانی بختیار عزت پناه
      • Open Access Article

        4 - Comparing and Ranking of Meta-Heuristic Algorithms Using Group Decision Making Methods
        Hojatollah Rajabi Moshtaghi Abbas Toloie Eshlaghy Mohammad Reza Motadel
        In recent years, meta-heuristic algorithms and their application in solving complicated, nonlinear and NP-hard problems have dramatically increased, while new algorithms have constantly being introduced. In this research, with the aim of ranking meta-heuristic algorithm More
        In recent years, meta-heuristic algorithms and their application in solving complicated, nonlinear and NP-hard problems have dramatically increased, while new algorithms have constantly being introduced. In this research, with the aim of ranking meta-heuristic algorithms, using group decision making techniques (different from other research in this field), 5 algorithms including: GA, PSO, ABC, SFLA and ICA by 15 standard test functions, and considering 2 attribute: "mean of answers" and "run time", have been compared. Then they are ranked by 3 group decision making methods including: "Cook and Seiford", "Condorcet" and "Dodgson". In addition, as in ranking by "Condorcet" and "Dodgson" methods, sometimes some options posit the same rank, therefore, in this study; we presented a proposal to overcome the limitation. Then the algorithms with these proposed methods were ranked. Finally, the overall ranking is done using an allocation model our results show that the overall ranking is as follows, respectively: PSO, ICA, GA, ABC and SFLA. Manuscript profile
      • Open Access Article

        5 - Management of Environmental Impacts due to Mining Operations Using Fuzzy Multiple Criteria Decision Making Techniques (Case Study: Chadormaloo Mining Complex)
        arash ebrahimabadi
        Destruction of area and changes in local ecosystem are viewed as the most important environmental impacts of mining operations in a region. Extents of disturbance area particularly waste dumps are also being increased as mining continues. Hence, environmental management More
        Destruction of area and changes in local ecosystem are viewed as the most important environmental impacts of mining operations in a region. Extents of disturbance area particularly waste dumps are also being increased as mining continues. Hence, environmental management and reclamation of mined lands play a major role in environmental protection in a specified mining region. With this respect, this paper describes optimum plant selection for reclamation process of mining in Chadormaloo mining complex as a case study. In all type of post mining land use such as Agriculture, Pasture, Forestry, Tourist attraction, Wild life creation, selection and planting the appropriate plant species is one the most essential requirements to successful implement the mine reclamation plan. The Research methodology is, Selecting of plant species that is on the basis of the primary factors that are: type of post mining land use, Climate, Nature­ of soil. Then priority is defined between the selected species, based on of the secondary factors by two Multiple Criteria Decision Making (MCDM) models that criteria are perspective of the region, resistance against disease and insects,­ strength and method of growth, availability of plant type, economic efficiency, protection of soil and storing water, prevention from pollution. These models are implemented by FUZZY AHP and FUZZY TOPSIS methods. The mentioned procedure was applied to Chadormaloo iron mine in Iran. Decision making was executed on the basis of oral judgments and experts’ opinions in the case study. Results showed that among candidate plants, Artemisia sieberi, Salsola yazdiana, Halophytes types, and Zygophyllum, respectively, are ranked and prioritized as optimum plants for reclamation process using two methods. Manuscript profile
      • Open Access Article

        6 - the use of the tabu search metaheuristic to solve location problems: a review
        Alireza Bitaraf
        In this paper, a detailed review of the application of the Tabu search method on location problems is reviewed. For this purpose, first the concept of locationing and different types of location problems are introduced and then the components of the Tabu search method a More
        In this paper, a detailed review of the application of the Tabu search method on location problems is reviewed. For this purpose, first the concept of locationing and different types of location problems are introduced and then the components of the Tabu search method are described in detail. The purpose of locationing is to find new suitable locations for setting up facility location. Today, increasing competition between companies has made it very important to study location problems. There are various methods for solving location problems. In recent decades, various metaheuristic methods have been introduced to solve such problems. Ultra-innovative methods use innovative ideas to solve problems with large data and dimensions. One of the metaheuristic methods is the tabu search algorithm, which is based on local search and gives desirable results in solving location problems. This algorithm has various components which are introduced in detail in this paper. The components that some researchers have added to this method to improve its performance are also introduced. In this paper, a detailed review of the application of the Tabu search method on location problems is reviewed. For this purpose, first the concept of locationing and different types of location problems are introduced and then the components of the Tabu search method are described in detail. The purpose of locationing is to find new suitable locations for setting up facility location. Today, increasing competition between companies has made it very important to study location problems. There are various methods for solving location problems. In recent decades, various metaheuristic methods have been introduced to solve such problems. Ultra-innovative methods use innovative ideas to solve problems with large data and dimensions. One of the metaheuristic methods is the tabu search algorithm, which is based on local search and gives desirable results in solving location problems. This algorithm has various components which are introduced in detail in this paper. The components that some researchers have added to this method to improve its performance are also introduced. Manuscript profile
      • Open Access Article

        7 - بررسی و ارزیابی سیاست‌های مسکن گروه‌های کم‌درآمد شهری (نمونه موردی: تبریز)
        محمد ملکوتی نیا علیرضا سلطانی بختیار عزت پناه
      • Open Access Article

        8 - رتبه بندی شرکتهای پتروشیمی، داروئی و خودروئی در بازار سرمایه ایران )با استفاده از روشهای تصمیم گیری چند معیاره
        مهدی علی نژادساروکلائی طیبه علی‌نیا اسبوکلائی