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	Hierarchical hesitant fuzzy K-means clustering algorithm
	CHEN Na ; XU Ze-shui ; XIA Mei-mei ; CHEN Na ; XU Ze-shui ; XIA Mei-mei
	2016-03-30 ; 2016-03-30
关键词	Hesitant fuzzy set hierarchical clustering K-means clustering intuitionisitc fuzzy set TP311.13
其他题名	Hierarchical hesitant fuzzy K-means clustering algorithm
中文摘要	Due to the limitation and hesitation in one's knowledge,the membership degree of an element to a given set usually has a few different values,in which the conventional fuzzy sets are invalid. Hesitant fuzzy sets are a powerful tool to treat this case. The present paper focuses on investigating the clustering technique for hesitant fuzzy sets based on the K-means clustering algorithm which takes the results of hierarchical clustering as the initial clusters. Finally,two examples demonstrate the validity of our algorithm.; Due to the limitation and hesitation in one's knowledge,the membership degree of an element to a given set usually has a few different values,in which the conventional fuzzy sets are invalid. Hesitant fuzzy sets are a powerful tool to treat this case. The present paper focuses on investigating the clustering technique for hesitant fuzzy sets based on the K-means clustering algorithm which takes the results of hierarchical clustering as the initial clusters. Finally,two examples demonstrate the validity of our algorithm.
语种	英语 ; 英语
内容类型	期刊论文
源URL	[http://ir.lib.tsinghua.edu.cn/ir/item.do?handle=123456789/145786]
专题	清华大学
推荐引用方式 GB/T 7714	CHEN Na,XU Ze-shui,XIA Mei-mei,et al. Hierarchical hesitant fuzzy K-means clustering algorithm[J],2016, 2016.
APA	CHEN Na,XU Ze-shui,XIA Mei-mei,CHEN Na,XU Ze-shui,&XIA Mei-mei.(2016).Hierarchical hesitant fuzzy K-means clustering algorithm..
MLA	CHEN Na,et al."Hierarchical hesitant fuzzy K-means clustering algorithm".(2016).

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