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


KARAŞAN A. , Bolturk E., Kahraman C.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, vol.36, no.2, pp.1491-1504, 2019 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 36 Issue: 2
  • Publication Date: 2019
  • Doi Number: 10.3233/jifs-181255
  • Title of Journal : JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
  • Page Numbers: pp.1491-1504
  • Keywords: CODAS, interval-valued neutrosophic fuzzy, renewable energy, decision making, location selection, DECISION-MAKING METHOD, FUZZY SOFT SETS, RESIDENTIAL HOUSE, AHP, ALTERNATIVES, ALGORITHMS, VIKOR, PRIORITIZATION, TOPSIS, MODEL

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 fuzzy 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.

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.