Abstract
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.
Original language | English |
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Title of host publication | Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference |
Editors | Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga |
Publisher | Springer Verlag |
Pages | 888-895 |
Number of pages | 8 |
ISBN (Print) | 9783030237554 |
DOIs | |
Publication status | Published - 2020 |
Event | International Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey Duration: 23 Jul 2019 → 25 Jul 2019 |
Publication series
Name | Advances in Intelligent Systems and Computing |
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Volume | 1029 |
ISSN (Print) | 2194-5357 |
ISSN (Electronic) | 2194-5365 |
Conference
Conference | International Conference on Intelligent and Fuzzy Systems, INFUS 2019 |
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Country/Territory | Turkey |
City | Istanbul |
Period | 23/07/19 → 25/07/19 |
Bibliographical note
Publisher Copyright:© 2020, Springer Nature Switzerland AG.
Keywords
- Pythagorean fuzzy sets
- Renewable energy assessment
- WASPAS