Case-Based Reasoning for Hidden Property Analysis of Judgment Debtors

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.

Application of Fuzzy Case-Based Reasoning and Fuzzy Analytic Hierarchy Process for Machining Cutter Planning and Control

“…Recently, the CBR methodology has been used in a variety of problem-solving and interpretive tasks. For instance, some of the successful applications were presented by Kasie et al [11], Kasie and Bright [32,33,34], Zhang et al [35], and Zhao et al [36]. Furthermore, it can be easily trained by a few training datasets as compared with other machine learning technologies [1,33,34,37].…”

Interoperability-Enhanced Knowledge Management in Law Enforcement: An Integrated Data-Driven Forensic Ontological Approach to Crime Scene Analysis

“…First and foremost, ontological sense enhances the accuracy and reliability of crime scene investigations by systematically correlating multiple types of evidence and data points. This is particularly beneficial for complex cases that involve a vast array of interconnected elements such as DNA samples, fingerprints, and witness statements [74,84,97,137]. Additionally, ontological reasoning promotes the objectivity and impartiality of forensic analysis by reducing human error and subjectivity.…”

Cutting Tools Assignment and Control Using Neutrosophic Case-Based Reasoning and Best Worst Method

“…Different numerical examples are illustrated in different studies (see Kasie et al [1]; Kasie and Bright [31,35]). CBR systems have recently been advanced to address complex situations by integrating them with other problem-solving approaches, as reviewed in Zhang et al [36] and Zhao et al [37]. For example, Zhao et al [37] combined the CBR with attribute feature mining techniques for predicting posting popularities on social media networks for the online automobile community.…”

“…For example, Zhao et al [37] combined the CBR with attribute feature mining techniques for predicting posting popularities on social media networks for the online automobile community. Moreover, Zhang et al [36] proposed a CBR method for the judgment debtor's hidden property analysis using four types of case attributes such as crisp symbols, crisp numbers, interval numbers, and fuzzy variables.…”