Case-Based Reasoning for Hidden Property Analysis of Judgment Debtors

Huirong Zhang, Zhenyu Zhang, Lixin Zhou and Shuangsheng Wu
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Huirong Zhang: School of Labor Relationship, Shandong Management University, Jinan 250357, China
Zhenyu Zhang: School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
Lixin Zhou: Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
Shuangsheng Wu: School of Economics and Management, Tongji University, Shanghai 200092, China

Mathematics, 2021, vol. 9, issue 13, 1-17

Abstract: Many judgment debtors try to evade, confront, and delay law enforcement using concealing and transferring their property to resist law enforcement in China. The act of hiding property seriously affects people’s legitimate rights and interests and China’s legal authority. Therefore, it is essential to find an effective method of analyzing whether a judgment debtor hides property. Aiming at the hidden property analysis problem, we propose a case-based reasoning method for the judgment debtor’s hidden property analysis. In the hidden property analysis process, we present the attributes of the enforcement case by crisp symbols, crisp numbers, interval numbers, and fuzzy linguistic variables and develop a hybrid similarity measure between the historical enforcement case and the target enforcement case. The results show that the recommendations obtained with the information and knowledge of similar historical cases are consistent with judicial practice, which can reduce the work pressure of law enforcement officers and improve the efficiency of handling enforcement cases.

Keywords: law enforcement; case-based reasoning (CBR); similarity measure; hidden property; judgment debtor (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
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