Abstract
Combinative Distance-based Assessment (CODAS) method aims at selecting the best alternative having the largest distance to the negative-ideal point based on the Euclidean distance as the primary and the Taxicab distance as the secondary measure. Uncertainty is generally an unavoidable issue in real life problems, which can be tackled by various approaches that may be stochastic or fuzzy. Neutrosophic sets theory is an ultimate extension of ordinary fuzzy sets and neutrosophic sets are the superset of intuitionistic fuzzy sets. This paper develops a novel interval-valued neutrosophic CODAS method and presents comparative analyses with crisp and ordinary fuzzy CODAS methods. Together with comparative analyses, a sensitivity analysis is also given for the selection problem among wind energy plant locations.
| Original language | English |
|---|---|
| Pages (from-to) | 1491-1504 |
| Number of pages | 14 |
| Journal | Journal of Intelligent and Fuzzy Systems |
| Volume | 36 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2019 |
Bibliographical note
Publisher Copyright:© 2019 - 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
- CODAS
- Decision making
- Interval-valued neutrosophic fuzzy
- Location selection
- Renewable energy
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