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 |
DOI | 10.1016/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). |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论