Novel distance measures of hesitant fuzzy sets and their applications in clustering analysis

Distance and similarity measures are very important in clustering, pattern recognition, decision-making and other scientific fields. For the existing hesitant fuzzy distance, most of them do not consider the hesitance degree. Even if the hesitance degree is considered, only the degree of dispersion...

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Vydané v:	Journal of engineering and applied science (Online) Ročník 69; číslo 1; s. 115 - 16
Hlavní autori:	Liao, Fuping, Li, Wu, Zhou, Xiaoqiang, Liu, Gang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2022 Springer Nature B.V SpringerOpen
Predmet:	Algorithms Cluster analysis Clustering Clustering analysis Decision making Distance measure Engineering Fuzzy sets Hesitance degree Hesitant fuzzy set Pattern recognition Vector quantization Hesitance degree Clustering analysis Hesitant fuzzy set Distance measure
ISSN:	1110-1903, 2536-9512
On-line prístup:	Získať plný text
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