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

Article type: Research Article

Authors: Karaşan, Ali^{a; b; *} | Boltürk, Eda^b | Kahraman, Cengiz^b

Affiliations: [a] Institute of Natural and Applied Sciences, Yildiz Technical University, Esenler, Istanbul, Turkey | [b] Department of Industrial Engineering, Istanbul Technical University, Macka, Istanbul, Turkey

Correspondence: [*] Corresponding author. Ali Karaşan, E-mail: [email protected].

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.

Keywords: CODAS, interval-valued neutrosophic fuzzy, renewable energy, decision making, location selection

DOI: 10.3233/JIFS-181255

Journal: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1491-1504, 2019