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

Article type: Research Article

Authors: Yen, Chih-Ping^{; *}

Affiliations: Department of Information Management, Central Police University, Taoyuan, Taiwan

Correspondence: [*] Corresponding author. Chih-Ping Yen, Department of Information Management, Central Police University, Taoyuan 33304, Taiwan. E-mail: peter@mail.cpu.edu.tw.

Abstract: 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.

Keywords: Multiple criteria decision-making, correlation coefficient, single-valued neutrosophic hesitant fuzzy sets

DOI: 10.3233/JIFS-221142

Journal: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 6, pp. 7595-7604, 2022