General Mathematics

   

Hybrid Vector Similarity Measure of Single Valued Refined Neutrosophic Sets to Multi-Attribute Decision Making Problems

Authors: Surapati Pramanik, Partha Pratim Dey, Bibhas C. Giri

This paper proposes hybrid vector similarity measures under single valued refined neutrosophic sets and proves some of its basic properties. The proposed similarity measure is then applied for solving multiple attribute decision making problems. Lastly, a numerical example of medical diagnosis is given on the basis of the proposed hybrid similarity measures and the results are compared with the results of other existing methods to validate the applicability, simplicity and effectiveness of the proposed method.

Comments: 25 Pages.

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Submission history

[v1] 2017-02-16 07:59:31

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