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

Shuangsheng Wu, Jie Lin, Zhenyu Zhang and Yushu Yang
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Shuangsheng Wu: School of Economics and Management, Tongji University, Shanghai 200092, China
Jie Lin: School of Economics and Management, Tongji University, Shanghai 200092, China
Zhenyu Zhang: School of Economics and Management, Tongji University, Shanghai 200092, China
Yushu Yang: School of Economics and Management, Tongji University, Shanghai 200092, China

Mathematics, 2021, vol. 9, issue 4, 1-16

Abstract: 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.

Keywords: hesitant fuzzy linguistic term sets; hesitant fuzzy linguistic numbers; clustering algorithm; person subjected to execution; concealment of property (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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