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A Novel Interval Valued Picture Fuzzy SWARA & CODAS Methodology: Renewable Energy Selection Application
Alize Yaprak Gul, Zeynep Burcu Kizilkan Demir, Erdi Şirin and Kaan Buyukkanber
In recent years, multi-criteria decision-making (MCDM) methods have gained significant attention and have been widely applied in diverse domains to facilitate decision-making processes. In this paper a novel MCDM methodology including an interval valued picture fuzzy (IVPF) SWARA & CODAS methodology is introduced and applied to the renewable energy source selection problem in Turkey. The IVPF SWARA method is used for determination of criteria weights and the IVPF CODAS method is used for the selection of the best alternative. The contribution of this study is two folded; first, a novel extension of CODAS method by IVPFS; second, development of a novel SWARA & CODAS methodology. The obtained results are compared with an interval valued picture fuzzy AHP & TOPSIS methodology, and a sensitivity analysis is conducted to show the validity and robustness of the developed methodology. It has been observed that the proposed methodology provides robust and valid results.
Keywords: Interval valued picture fuzzy sets, fuzzy AHP, SWARA, CODAS, TOPSIS, Renewable Energy