Assessment method for criminal risk factor by combining static and dynamic information

Abstract

The invention relates to an assessment method for a criminal risk factor by combining static and dynamic information. The method comprises the following steps: acquiring the static information and the dynamic information of an individual in a jail; adopting an analytic hierarchy process for dividing the static information and the dynamic information as the first level index into second and third level indexes and giving a weight; respectively calculating evaluation values of the third level index to the second level index and the second level index to the first level index in turn through mathematical modeling, thereby judging the danger level of various behavior intentions of the criminal. According to the method provided by the invention, the jail condition can be comprehensively mastered and the working efficiency can be increased; the intelligent early warning can be timely and quickly realized; according to the invention, the real-time collected abnormal information and the operational rule are used for matching analysis and all-level early warning can be intelligently generated; the classifying management is realized and the hidden danger of supervision is eliminated.

Description

technical field [0001] The invention relates to a method for processing criminal information, in particular to a method for evaluating criminal risk by integrating static and dynamic information. Background technique [0002] Criminals' different social backgrounds, life experiences, crime types, and various manifestations in the reform process can objectively reflect the differences in individual characteristics of criminals. This patent establishes an evaluation model specially applied to prison criminal risk analysis and early warning, collects data centered on individual criminals collected by various information channels and professional business systems, and performs sampling and mining through decision tree sampling strategies and neural network methods. Using the scoring rules and early warning thresholds set by the evaluation model, it can calculate, infer, and draw conclusions about the dangers of prisoners in prison, and realize intelligent early warning, investig...

AI Technical Summary

Problems solved by technology

In addition to making basic statistical reports and supporting the application of each business system, the obtained data has not yet been used for comprehensive in-depth mining.

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