Case Risk Assessment Model Integrating Case Retrieval and Combined Weighting

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.