Assessment of Renewable Energy Alternatives with Pythagorean Fuzzy WASPAS Method: A Case Study of Turkey

摘要

Effective exploitation of renewable energy sources is a fundamental part of sustainable development strategies of countries. A comprehensive assessment of renewable energy sources is required to ensure maximum utilization of resources. The assessment of renewable energy alternatives is a complex problem since many criteria, even some of them are conflicting, must to be simultaneously taken into consideration. Pythagorean fuzzy sets are able to better represent uncertainty and impreciseness in an evaluation process by providing a larger domain for decision makers to express their opinions. Therefore, this study aims at assessing alternative renewable energy sources by using interval-valued Pythagorean fuzzy WASPAS method. The obtained results are compared to the results of interval-valued intuitionistic WASPAS and crisp WASPAS methods. It is concluded that bioenergy is the best renewable energy alternative for Turkey.