Thresholds learning of three-way decisions in pairwise crime linkage
Li, Yusheng; Shao, Xueyan
刊名APPLIED SOFT COMPUTING
2022
卷号120
关键词Crime linkage Three-way decisions Serial crimes Decision-theoretic rough set
ISSN号1568-4946
DOI10.1016/j.asoc.2022.108638
文献子类Article
英文摘要Crime linkage is a difficult task and is of great significance to maintaining social security. It can be treated as a binary classification problem. Some crimes are difficult to determine whether they are serial crimes under the existing evidence, so the two-way decisions are easy to make mistakes for some case pairs. Here, the three-way decisions based on the decision-theoretic rough set are applied and its key issue is to determine thresholds by setting appropriate loss functions. However, sometimes the loss functions are difficult to obtain. In this paper, a method to automatically learn thresholds of the three-way decisions without the need to preset explicit loss functions is proposed. We simplify the loss function matrix according to the characteristic of crime linkage, re-express thresholds by loss functions, and investigate the relationship between overall decision cost and the size of the boundary region. The trade-off between the uncertainty of the boundary region and the decision cost is taken as the optimization objective. We apply multiple traditional classification algorithms as base classifiers, and employ real-world cases and some public datasets to evaluate the effect of our proposed method. The results show that the proposed method can reduce classification errors. (c) 2022 Elsevier B.V. All rights reserved.
WOS关键词THEORETIC ROUGH SET ; ATTRIBUTE REDUCTION ; MAKING APPROACH ; OPTIMIZATION ; SERIES ; MODEL ; CLASSIFICATION ; APPROXIMATIONS ; BURGLARIES ; REGRESSION
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000791589300014
内容类型期刊论文
源URL[http://ir.casisd.cn/handle/190111/12039]  
专题系统分析与管理研究所
作者单位Univ Chinese Acad Sci, Sch Publ Policy & Management, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Li, Yusheng,Shao, Xueyan. Thresholds learning of three-way decisions in pairwise crime linkage[J]. APPLIED SOFT COMPUTING,2022,120.
APA Li, Yusheng,&Shao, Xueyan.(2022).Thresholds learning of three-way decisions in pairwise crime linkage.APPLIED SOFT COMPUTING,120.
MLA Li, Yusheng,et al."Thresholds learning of three-way decisions in pairwise crime linkage".APPLIED SOFT COMPUTING 120(2022).
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