HFC: Data clustering based on hesitant fuzzy decision making

In a clustering task, choosing a proper clustering algorithm and obtaining qualified clusters are crucial issues. Sometimes, a clustering algorithm is chosen based on the data distribution, but data distributions are not known beforehand in real world problems. In this case, we hesitate which cluste...

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Veröffentlicht in:	Iranian journal of fuzzy systems (Online) Jg. 19; H. 5; S. 167
Hauptverfasser:	Aliahmadipour, L, Eftekhari, M, Torra, V
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Zahedan University of Sistan and Baluchestan, Iranian Journal of Fuzzy Systems 2022
Schlagworte:	Algorithms Cluster analysis Clustering Datasets FCM clustering algorithm Fuzzy sets hesitant fuzzy clustering hesitant fuzzy decision making hierarchical clustering algorithm Machine learning Methods Multiple criteria decision making
ISSN:	1735-0654, 2676-4334, 2676-4334
Online-Zugang:	Volltext
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