General Science and Philosophy

   

Some Distance Measures of Single Valued Neutrosophic Hesitant Fuzzy Sets and Their Applications to Multiple Attribute Decision Making

Authors: Pranab Biswas, Surapati Pramanik, Bibhas C. Giri

Single-valued neutrosophic hesitant fuzzy set is a merged form of single-valued neutrosophic sets and hesitant fuzzy sets. This set is a useful tool to handle imprecise, incomplete and inconsistent information existing in multi-attribute decision making problems. In multi-attribute decision making, distance measures play an important role to take a decision regarding alternatives. In this paper we propose a variety of distance measures for single valued neutrosophic sets. Furthermore, we apply these measures to multi-attribute decision making problem with singlevalued neutrosophic hesitant fuzzy set environment to find out the best alternative. We provide an illustrative example to validate and to show fruitfulness of the proposed approach. Finally, we compare the proposed approach with other existing methods for solving multi-attribute decision making problems

Comments: 8 Pages.

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Submission history

[v1] 2016-12-07 10:34:46

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