Hesitant Fuzzy Linguistic Agglomerative Hierarchical Clustering Algorithm and Its Application in Judicial Practice

The fuzzy clustering algorithm has become a research hotspot in many fields because of its better clustering effect and data expression ability. However, little research focuses on the clustering of hesitant fuzzy linguistic term sets (HFLTSs). To fill in the research gaps, we extend the data type o...

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Vydáno v:	Mathematics (Basel) Ročník 9; číslo 4; s. 370
Hlavní autoři:	Wu, Shuangsheng, Lin, Jie, Zhang, Zhenyu, Yang, Yushu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	MDPI AG 01.02.2021
Témata:	clustering algorithm concealment of property hesitant fuzzy linguistic numbers hesitant fuzzy linguistic term sets person subjected to execution
ISSN:	2227-7390, 2227-7390
On-line přístup:	Získat plný text
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Popis
Shrnutí:	The fuzzy clustering algorithm has become a research hotspot in many fields because of its better clustering effect and data expression ability. However, little research focuses on the clustering of hesitant fuzzy linguistic term sets (HFLTSs). To fill in the research gaps, we extend the data type of clustering to hesitant fuzzy linguistic information. A kind of hesitant fuzzy linguistic agglomerative hierarchical clustering algorithm is proposed. Furthermore, we propose a hesitant fuzzy linguistic Boole matrix clustering algorithm and compare the two clustering algorithms. The proposed clustering algorithms are applied in the field of judicial execution, which provides decision support for the executive judge to determine the focus of the investigation and the control. A clustering example verifies the clustering algorithm’s effectiveness in the context of hesitant fuzzy linguistic decision information.
ISSN:	2227-7390 2227-7390
DOI:	10.3390/math9040370