Correlation measures under single-valued neutrosophic hesitant fuzzy sets environment for multi-criteria decision-making problems

被引:0
|
作者
Yen, Chih-Ping [1 ]
机构
[1] Cent Police Univ, Dept Informat Management, Taoyuan 33304, Taiwan
关键词
Multiple criteria decision-making; correlation coefficient; single-valued neutrosophic hesitant fuzzy sets; CORRELATION-COEFFICIENT; ALGORITHMS;
D O I
10.3233/JIFS-221142
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We examine correlation coefficients for single-valued neutrosophic hesitant fuzzy sets (SVNHFSs) to point out their questionable results for the ideal alternative. Then, we propose three similarity measure methods to solve multi-criteria decision-making (MCDM) problems. Three applications, namely, ranking of alternatives, dysfunctional comments of turbine engine generators, and disease diagnoses for patients, illustrate the stability and effectivity of our new similarity. Our findings will help researchers deal with similarity measures in the future.
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收藏
页码:7595 / 7604
页数:10
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