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.
| Original language | English |
|---|---|
| Pages (from-to) | 6407-6417 |
| Number of pages | 11 |
| Journal | Journal of Intelligent and Fuzzy Systems |
| Volume | 39 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2020 |
Bibliographical note
Publisher Copyright:© 2020 - IOS Press and the authors. All rights reserved.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy -
SDG 15 Life on Land -
SDG 17 Partnerships for the Goals
Keywords
- Pythagorean fuzzy sets
- Renewable energy evaluation
- WASPAS
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