Robust hesitant fuzzy partitional clustering algorithms and their applications in decision making

Hesitant fuzzy sets (HFSs) are a powerful tool to describe uncertain and vague information, whose relationship can be analyzed and mined by clustering algorithms. The partitional idea is widely used in clustering analysis for real-number data but little for hesitant fuzzy data. After pointing out th...

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Bibliographic Details

Published in:	Applied soft computing Vol. 145; p. 110212
Main Authors:	Chao, Kun, Zhao, Hua, Xu, Zeshui, Cui, Feng
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.09.2023
Subjects:	Hesitant fuzzy C-medians (HFCME) Hesitant fuzzy K-medians (HFKME) Hesitant fuzzy sets (HFSs) Improved hesitant fuzzy C-means (IFHCM) Improved hesitant fuzzy K-means (IHFKM) Hesitant fuzzy C-medians (HFCME) Improved hesitant fuzzy K-means (IHFKM) Hesitant fuzzy sets (HFSs) Improved hesitant fuzzy C-means (IFHCM) Hesitant fuzzy K-medians (HFKME)
ISSN:	1568-4946, 1872-9681
Online Access:	Get full text
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