Multicriteria decision making in energy planning using a modified fuzzy TOPSIS methodology |
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| Authors: | Tolga Kaya Cengiz Kahraman |
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| Affiliation: | 1. Istanbul Technical University, Department of Management Engineering, 34367 Macka, Istanbul, Turkey;2. Istanbul Technical University, Department of Industrial Engineering, 34367 Macka, Istanbul, Turkey;1. School of Economics and Management, Southeast University, Nanjing, Jiangsu 211189, China;2. College of Sciences, PLA University of Science and Technology, Nanjing, Jiangsu 210007, China;1. School of Economics and Management, Southeast University, Nanjing 211189, China;2. Business School, Sichuan University, Chengdu, Sichuan 610065, China;1. National Technical University of Athens, School of Electrical & Computer Engineering, Management & Decision Support Systems Laboratory (EPU-NTUA), 9, Iroon Polytechniou Street, 157 80 Athens, Greece;2. ESSCA École de Management, 55 quai Alphonse Le Gallo, 92513 Paris, France;3. Financial Engineering Laboratory, Technical University of Crete, School of Production Engineering and Management, 73100 Chania, Greece;4. Audencia Business School, 8 route de la Jonelire – B.P. 31222, 44312 Nantes Cedex 3, France;1. Department of Mechanical Engineering, Andalas University, Padang 25163, Indonesia;2. Department of Mechanical Engineering, Riau University, Pekanbaru 28293, Indonesia;1. Department of Business Administration, Faculty of Economics and Administrative Sciences at Çanakkale, Çanakkale Onsekiz Mart University, Terzioglu Kampusu, 17020 Çanakkale, Turkey;2. Department of Econometric, Faculty of Economics and Administrative Sciences, Atatürk University 25240 Erzurum, Turkey;3. Department of Management, University College of Nabi Akram (UCNA), Tabriz, ?ran;4. SHW 8, Regional Directorate, Directorate of Dams and HPS, Erzurum, Turkey;5. Department of Mechanical Engineering, Faculty of Engineering, Çanakkale Onsekiz Mart University, Terzio?lu Kampusu, 17020 Çanakkale, Turkey |
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| Abstract: | Energy planning is a complex issue which takes technical, economic, environmental and social attributes into account. Selection of the best energy technology requires the consideration of conflicting quantitative and qualitative evaluation criteria. When decision-makers’ judgments are under uncertainty, it is relatively difficult for them to provide exact numerical values. The fuzzy set theory is a strong tool which can deal with the uncertainty in case of subjective, incomplete, and vague information. It is easier for an energy planning expert to make an evaluation by using linguistic terms. In this paper, a modified fuzzy TOPSIS methodology is proposed for the selection of the best energy technology alternative. TOPSIS is a multicriteria decision making (MCDM) technique which determines the best alternative by calculating the distances from the positive and negative ideal solutions according to the evaluation scores of the experts. In the proposed methodology, the weights of the selection criteria are determined by fuzzy pairwise comparison matrices. The methodology is applied to an energy planning decision-making problem. |
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