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Issue title: Special section: Decision Making Using Intelligent and Fuzzy Techniques
Guest editors: Cengiz Kahraman
Article type: Research Article
Authors: Bolturk, Edaa; * | Gülbay, Muratb | Kahraman, Cengiza
Affiliations: [a] Department of Industrial Engineering, Istanbul Technical University, Macka, Istanbul Turkey | [b] Technical Sciences Vocational School, Gaziantep University, Gaziantep, Turkey
Correspondence: [*] Corresponding author. Eda Bolturk, Department of Industrial Engineering, Istanbul Technical University, Macka, Istanbul Turkey. E-mail: bolturk@itu.edu.tr.
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.
Keywords: Fuzzy aggregation operator, multi-attribute decision making, intuitionistic fuzzy set, neutrosophic fuzzy sets, sustainable energy selection
DOI: 10.3233/JIFS-189118
Journal: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 5, pp. 6553-6563, 2020
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