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.

Highlights

  • Due to the influence of the whole society’s low legal consciousness, lack of the social credit system, imperfections of the property supervision system, and other factors, a large number of judgment debtors try their best to evade, confront, and delay law enforcement by concealing and transferring their property and even resort to violent means to resist law enforcement

  • The stage of hiding possibility analysis mainly includes four steps: (1) case presentation structurally presents the attributes of the target case and the historical case; (2) hybrid similarity measure calculation of the similarity measure under various attributes represented by different types of data between the target case and the historical case and aggregation thereof to form the hybrid similarity measure; (3) extraction of similar historical enforcement cases, ination of the similarity threshold, and selection of a historical enforcement case set with high similarity based on the threshold value; (4) generation of a recommendation regarding the hidden property analysis problem according to the extracted similar historical enforcement cases and decision whether the judgment debtor may be concealing their property

  • Aiming at the hidden property analysis problem, we developed the case-based reasoning (CBR) method for hidden property analysis of a judgment debtor

Read more

Summary

Introduction

Due to the influence of the whole society’s low legal consciousness, lack of the social credit system, imperfections of the property supervision system, and other factors, a large number of judgment debtors try their best to evade, confront, and delay law enforcement by concealing and transferring their property and even resort to violent means to resist law enforcement. The existing inspection and control system involves various forms of data, such as text data, crisp symbols, crisp numbers, interval numbers, and fuzzy variables It mainly depends on the law enforcement officers to screen the data, which need to be processed quantitatively. We develop the framework of CBR-based hidden property analysis of a judgment debtor which provides a fast and useful tool to analyze the possibility of the property concealed by a judgment debtor It solves the decision-making problem of the target enforcement case according to the experience of historical cases, assists law enforcement officers in finding out the hidden property of judgment debtors, and improves the accuracy and efficiency of the enforcement cases’. In the enforcement case presentation process, we use four types of data transformed from the Supreme People’s Court’s inspection and control system: crisp symbols, crisp numbers, interval numbers, and fuzzy linguistic variables.

Literature Review
The Framework of the CBR-Based Hidden Property Analysis of a Judgment Debtor
Enforcement Case Presentation
Hybrid Similarity Measure between Historical Enforcement Cases and the Target
Extraction of Similar Historical Enforcement Cases
Generation of Recommendations for Hidden Property Analysis
The Process of Hidden Property Analysis
Background
Comparative Analysis
Conclusions

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.