New Correlation Coefficients Between Probabilistic Hesitant Fuzzy Sets and Their Applications in Cluster Analysis

The hesitant fuzzy set (HFS) is very significant in dealing with the multi-criteria decision-making problems when the decision makers have hesitancy in providing their assessments. However, with the deepening of the research, it may lose information in its applications. Hence, the probabilistic hesi...

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Veröffentlicht in:	International journal of fuzzy systems Jg. 21; H. 2; S. 355 - 368
Hauptverfasser:	Song, Chenyang, Xu, Zeshui, Zhao, Hua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2019 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Cluster analysis Clustering Computational Intelligence Correlation coefficients Data analysis Decision making Engineering Fuzzy sets Management Science Multiple criterion Operations Research Probability Risk assessment Statistical analysis Correlation coefficient Cluster analysis Human–environment risk Probabilistic hesitant fuzzy set
ISSN:	1562-2479, 2199-3211
Online-Zugang:	Volltext
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