A Chi-square Distance-based Similarity Measure of Single-valued Neutrosophic Set and Applications

A Chi-square Distance-based Similarity Measure of Single-valued Neutrosophic Set and Applications
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Publisher : Infinite Study
Total Pages : 12
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Book Synopsis A Chi-square Distance-based Similarity Measure of Single-valued Neutrosophic Set and Applications by : Haiping Ren

Download or read book A Chi-square Distance-based Similarity Measure of Single-valued Neutrosophic Set and Applications written by Haiping Ren and published by Infinite Study. This book was released on with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this paper is to propose a new similarity measure of single valued neutrosophic sets (SVNSs). The idea of the construction of the new similarity measure comes from Chi-square distance measure, which is an important measure in the applications of image analysis and statistical inference. Numerical examples are provided to show the superiority of the proposed similarity measure comparing with the existing similarity measures of SVNSs. A weighted similarity is also put forward based on the proposed similarity. Some examples are given to show the effectiveness and practicality of the proposed similarity in pattern recognition, medical diagnosis and multi-attribute decision making problems under single-valued neutrosophic environment.


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Similarity measure is an important tool in multiple criteria decision-making problems, which can be used to measure the difference between the alternatives. In