Journal
INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL
Volume 14, Issue 1, Pages 78-89Publisher
CCC PUBL-AGORA UNIV
DOI: 10.15837/ijccc.2019.1.3430
Keywords
Chi-square distance measure; similarity measure; multi-attribute decision making; single-valued neutrosophic set
Funding
- National Natural Science Foundation of China [71661012]
- Foundation of Jiangxi Educational Committee [GJJ170496]
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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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