A novel neutrosophic CODAS method: Selection among wind energy plant locations

Ali Karaşan*, Eda Boltürk, Cengiz Kahraman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

39 Citations (Scopus)


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 languageEnglish
Pages (from-to)1491-1504
Number of pages14
JournalJournal of Intelligent and Fuzzy Systems
Issue number2
Publication statusPublished - 2019

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  • Decision making
  • Interval-valued neutrosophic fuzzy
  • Location selection
  • Renewable energy


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