Abstract: With the rapid economic and social development and the continuous deepening of reform and opening up, the number of lawsuits has also increased substantially. During the execution of the case, some persons subjected to execution used various means to conceal their property, which resulted in the failure to actively perform the obligations established in the effective legal documents. Aiming at the court enforcement problems such as the prominent phenomenon of the concealed property of the person subject to execution, the difficulty of finding the property to be executed, and the inefficient retrieval method of similar cases, the case-based reasoning method is applied to the field of judicial enforcement. A method for extracting similar cases of concealed property of the person subject to execution and estimating the amount of concealed property is designed based on case-based reasoning in a heterogeneous information environment. First of all, qualitative and quantitative analysis is carried out on the case of concealed property of the person subjected to execution, and a multi-dimensional characteristic system of the case of concealed property of the person subjected to execution is established. Based on the CBR’s case representation thought, the representation method of the concealed property case of the person subjected to execution is given. Secondly, taking into account the heterogeneity of the representation form of case attribute information, a calculation model for the similarity and attribute weight of heterogeneous information such as precise symbols, precise numbers, interval numbers, and hesitant fuzzy linguistic is further constructed. By setting the similarity threshold between the target case and the historically concluded case, a similar case set of hidden property cases is established, and the retrieval and extraction of similar cases are realized. On this basis, a model for estimating the amount of concealed property of the person subject to execution based on the similarity of heterogeneous information is further constructed. Finally, the methods of this paper are compared and analyzed with the existing methods, and the feasibility and effectiveness of similar case extraction algorithm and amount estimation model are verified through a specific example. The research results provide decision-making support for the executive judges in identifying hidden property behaviors, formulating implementation plans, and guaranteeing judgments in similar cases, improving the overall quality of similar cases and the efficiency of execution.

Key words: concealment of property; heterogeneous information; case-based reasoning; similarity measure; similar cases extraction; amount estimation