Correlation Coefficients of Probabilistic Hesitant Fuzzy Elements and Their Applications to Evaluation of the Alternatives
Correlation coefficient is one of the broadly use indexes in multi-criteria decision-making (MCDM) processes. However, some important issues related to correlation coefficient utilization within probabilistic hesitant fuzzy environments remain to be addressed. The purpose of this study is introduced...
Main Authors: | Zhong-xing Wang, Jian Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-11-01
|
Series: | Symmetry |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-8994/9/11/259 |
Similar Items
-
A Novel Comparison of Probabilistic Hesitant Fuzzy Elements in Multi-Criteria Decision Making
by: Chenyang Song, et al.
Published: (2018-05-01) -
Hesitant Probabilistic Fuzzy Information Aggregation Using Einstein Operations
by: Jin Han Park, et al.
Published: (2018-09-01) -
Hesitant Probabilistic Fuzzy Linguistic Sets with Applications in Multi-Criteria Group Decision Making Problems
by: Dheeraj Kumar Joshi, et al.
Published: (2018-03-01) -
Hesitant Probabilistic Multiplicative Preference Relations in Group Decision Making
by: Zia Bashir, et al.
Published: (2018-03-01) -
Correlation Coefficients of Interval-Valued Pythagorean Hesitant Fuzzy Sets and Their Applications
by: Tingting Zheng, et al.
Published: (2020-01-01)