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Article

Case-Based Reasoning for Hidden Property Analysis of Judgment Debtors

1
School of Labor Relationship, Shandong Management University, Jinan 250357, China
2
School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
3
Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
4
School of Economics and Management, Tongji University, Shanghai 200092, China
*
Author to whom correspondence should be addressed.
Mathematics 2021, 9(13), 1559; https://doi.org/10.3390/math9131559
Submission received: 18 May 2021 / Revised: 20 June 2021 / Accepted: 1 July 2021 / Published: 2 July 2021
(This article belongs to the Special Issue Applications of Fuzzy Optimization and Fuzzy Decision Making)

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 law enforcement; case-based reasoning (CBR); similarity measure; hidden property; judgment debtor

Share and Cite

MDPI and ACS Style

Zhang, H.; Zhang, Z.; Zhou, L.; Wu, S. Case-Based Reasoning for Hidden Property Analysis of Judgment Debtors. Mathematics 2021, 9, 1559. https://doi.org/10.3390/math9131559

AMA Style

Zhang H, Zhang Z, Zhou L, Wu S. Case-Based Reasoning for Hidden Property Analysis of Judgment Debtors. Mathematics. 2021; 9(13):1559. https://doi.org/10.3390/math9131559

Chicago/Turabian Style

Zhang, Huirong, Zhenyu Zhang, Lixin Zhou, and Shuangsheng Wu. 2021. "Case-Based Reasoning for Hidden Property Analysis of Judgment Debtors" Mathematics 9, no. 13: 1559. https://doi.org/10.3390/math9131559

APA Style

Zhang, H., Zhang, Z., Zhou, L., & Wu, S. (2021). Case-Based Reasoning for Hidden Property Analysis of Judgment Debtors. Mathematics, 9(13), 1559. https://doi.org/10.3390/math9131559

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