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An Extended PROMETHE II Multi-Criteria Group Decision Making Technique Based on Intuitionistic Fuzzy Logic for Sustainable Energy Planning

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  • Mahsa Montajabiha

    (Islamic Azad University)

Abstract

The implementations of Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) category to complex multi-criteria group decision making (MCGDM) scenarios have been included in thousands areas. Outranking methods such as PROMETHEE II are also greatly employed in energy planning application. In MCGDM methods if decision makers (DMs) are not able to treat precise data in order to define their preferences, the intuitionistic fuzzy set (IFS) theory enables them. IFS attributes are connected with the degree of membership and non-membership, and can be used to draw uncertainty in group decision-making situations. In this paper, a new version of the PROMETHEE II method is proposed, aiming at solving MCGDM problems. Linguistic variables are expressed in the membership function and non-membership function of IFS which are used to assess the weights of all criteria and the ratings of each alternative with respect to each criteria. Conditional normalized Euclidean distance measure is adopted to measure deviations between alternatives on intuitionistic fuzzy set. Then, a ranking algorithm is applied to indicate the order of superiority of alternatives. Finally, a practical example is given to an application of sustainable energy planning to verify our proposed method. Additionally, a comparative analysis is done among the proposed PROMETHEE II method and the intuitionistic fuzzy technique for order preference by similarity to ideal solution (IF-TOPSIS) method and elimination and choice translating reality method (IF-ELECTRE).

Suggested Citation

  • Mahsa Montajabiha, 2016. "An Extended PROMETHE II Multi-Criteria Group Decision Making Technique Based on Intuitionistic Fuzzy Logic for Sustainable Energy Planning," Group Decision and Negotiation, Springer, vol. 25(2), pages 221-244, March.
    • Handle: RePEc:spr:grdene:v:25:y:2016:i:2:d:10.1007_s10726-015-9440-z
    DOI: 10.1007/s10726-015-9440-z
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    References listed on IDEAS

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    3. Wu, Yunna & Xu, Chuanbo & Ke, Yiming & Chen, Kaifeng & Sun, Xiaokun, 2018. "An intuitionistic fuzzy multi-criteria framework for large-scale rooftop PV project portfolio selection: Case study in Zhejiang, China," Energy, Elsevier, vol. 143(C), pages 295-309.
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    5. da Cunha, Richard Alex & Rangel, Luís Alberto Duncan & Rudolf, Christian A. & Santos, Luiza dos, 2022. "A decision support approach employing the PROMETHEE method and risk factors for critical supply assessment in large-scale projects," Operations Research Perspectives, Elsevier, vol. 9(C).
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    7. Samriddhya Ray Chowdhury & Srinjoy Chatterjee & Shankar Chakraborty, 2024. "Optimization of grinding processes using multi-criteria decision making methods in intuitionistic fuzzy environment," OPSEARCH, Springer;Operational Research Society of India, vol. 61(2), pages 709-740, June.
    8. Long, Yilu & Tang, Ming & Liao, Huchang, 2022. "Renewable energy source technology selection considering the empathetic preferences of experts in a cognitive fuzzy social participatory allocation network," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    9. Alfred Benedikt Brendel & Friedrich Chasin & Milad Mirbabaie & Dennis M. Riehle & Christine Harnischmacher, 2022. "Review of Design-Oriented Green Information Systems Research," Sustainability, MDPI, vol. 14(8), pages 1-33, April.
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