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

Mathematics

Shuangsheng Wu¹  Zhenyu Zhang¹  Jie Lin¹  Yushu Yang¹ 

[1] School of Economics and Management, Tongji University, Shanghai 200092, China;

关键词: hesitant fuzzy linguistic term sets;    hesitant fuzzy linguistic numbers;    clustering algorithm;    person subjected to execution;    concealment of property;   

DOI  :  10.3390/math9040370

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown