融合案例检索和组合赋权的执行案件风险评估模型

Case Risk Assessment Model Integrating Case Retrieval and Combined Weighting

摘要:

面对执行部门“案多人少”的困境，提出一种信息不确定环境下基于案例检索和组合赋权的执行案件风险评估方法。构建自然人为主体的执行案件风险评估指标体系，然后引入考虑案件信息模糊性和可靠性的混合属性距离测度和相似度计算模型，并利用偏差最小法优化属性的组合权重。设计一种兼顾主客观的动态相似度阈值确定方法，并建立类案案例库，以相似案件的执行结果估算目标案件的执行风险。最后，通过算例和对比分析验证了评估模型的可行性和有效性。

Abstract:

In view of the dilemma of “numerous cases and few people” in the enforcement department， a risk assessment method was proposed based on case retrieval and combined weighting in an environment of information uncertainty. Firstly， a natural person-based risk assessment index system was constructed. Secondly， a hybrid attribute distance measure and similarity calculation was introduced to take into account the ambiguity and reliability of case information， and the combined weights of attributes were optimized using the deviation minimization method. Then， a dynamic similarity threshold determination method was proposed to balance subjectivity and objectivity， and a case-like case database was constructed to estimate the enforcement risk of the target case based on the execution results of similar cases. Finally， the feasibility and validity of the assessment model were verified through a case study and comparative analysis.