Prioritization of renewable energy sources using multi-experts Pythagorean fuzzy WASPAS

Issue title: Special section: Decision Making Using Intelligent and Fuzzy Techniques

Guest editors: Cengiz Kahraman

Article type: Research Article

Authors: Ilbahar, Esra^{a; b; *} | Cebi, Selcuk^a | Kahraman, Cengiz^b

Affiliations: [a] Department of Industrial Engineering, Yildiz Technical University, Besiktas, Istanbul, Turkey | [b] Department of Industrial Engineering, Istanbul Technical University, Macka, Istanbul, Turkey

Correspondence: [*] Corresponding author. Esra Ilbahar, E-mail: [email protected].

Abstract: Effective utilization of renewable energy sources is an essential component of countries’ sustainable development strategies. A thorough evaluation of renewable energy alternatives is required to assure maximum exploitation of resources. The evaluation of renewable energy sources is a complicated problem since many criteria, even some of them are conflicting, must be taken into account simultaneously. Pythagorean fuzzy sets are better able to reflect uncertainty and vagueness in an assessment process by providing a greater domain for decision makers to describe their opinions. Therefore, this study aims at prioritizing renewable energy alternatives by employing interval-valued Pythagorean fuzzy WASPAS method. The obtained results are compared to the results of intuitionistic type-2 fuzzy WASPAS, interval-valued intuitionistic fuzzy WASPAS and crisp WASPAS methods. Biomass is selected to be the best renewable energy alternative for Central Anatolia Region of Turkey.

Keywords: Renewable energy evaluation, Pythagorean fuzzy sets, WASPAS

DOI: 10.3233/JIFS-189106

Journal: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 5, pp. 6407-6417, 2020