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.

Download: PDF

Submission history

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

Unique-IP document downloads: 7 times

Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.

comments powered by Disqus