Hesitant fuzzy Lukasiewicz implication operation and its application to alternatives’ sorting and clustering analysis

Hesitant fuzzy set (HFS) takes several possible values as the membership degree of an element to a set to express the decision makers’ hesitance when making decisions. Since its appearance, the HFS has been widely used in many fields, such as decision making, clustering analysis. Lukasiewicz implica...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 23; H. 2; S. 393 - 405
Hauptverfasser:	Wen, Miaomiao, Zhao, Hua, Xu, Zeshui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2019 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Cluster analysis Clustering Computational Intelligence Control Decision analysis Decision making Engineering Foundations Fuzzy logic Fuzzy sets Mathematical Logic and Foundations Mechatronics Methods Robotics Similarity measures Sorting algorithms Alternative sorting Clustering analysis Hesitant fuzzy set Hesitant fuzzy square product Lukasiewicz implication operator
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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