Location Selection by Intuitionistic Fuzzy and Neutrosophic Aggregation Operators

Location selection has been a very popular problem among the researchers and various models have been developed for the solution of this problem. Fuzzy approaches to location selection problem have also been handled in the literature. Aggregation operators for multi-experts decision making problems have been often used for the solution of multi-attribute decision making problems. In this paper, intuitionistic fuzzy aggregation operators and neutrosophic aggregation operators have been employed since they are quite comparable extensions of ordinary fuzzy sets. An illustrative location problem was solved by two approaches. The same linguistic data have been used for the comparison purpose.

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