Abstract
Sustainable energy selection has been a very popular problem among the researchers and various models including deterministic, probabilistic and fuzzy approaches have been developed for the solution of this problem. Fuzzy approaches to sustainable energy selection problems have been often handled in the literature. Aggregation operators for multi-expert decision making problems are an alternative solution technique for multi criteria decision making problems. Since neutrosophic and intuitionistic fuzzy aggregation operators are comparable extensions of ordinary fuzzy sets, they have been employed to aggregate multi-expert judgments. An illustrative energy selection problem is presented, solved by two approaches, and results are compared. The same linguistic data have been used for the comparison purpose.
| Original language | English |
|---|---|
| Pages (from-to) | 6553-6563 |
| 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
Keywords
- Fuzzy aggregation operator
- intuitionistic fuzzy set
- multi-attribute decision making
- neutrosophic fuzzy sets
- sustainable energy selection
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