A Chi-square Distance-based Similarity Measure of Single-valued Neutrosophic Set and Applications
In this paper, we propose a new similarity measure of single-valued neutrosophic sets (SVNSs) based on 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 proposed based on the proposed similarity.Three 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.
Chi-square distance measure similarity measure multi-attribute decision making single-valued neutrosophic set
Haiping Ren Shixiao Xiao Hui Zhou
School of Software Jiangxi University of Science and Technology Nanchang,China Chengyi College Jimei University Xiamen,China School of Mathematics and Computer Science Yichun University Yichun China
国际会议
郑州
英文
279-286
2018-09-21（万方平台首次上网日期，不代表论文的发表时间）