Criminal Investigation DSS Based on Trust Intuition Analysis Model

摘要

On purpose of improving the research in trust intelligence systems when the knowledge in hand is not sufficient, an trust intuition model (EIM) based on human-computer cooperative is presented. From the initial intuition process space defined by the primitive experience, a series of interactive experience learning systems (IELS) with various reductive levels are created. For, each IELS, the rule sets with respective belief degree are induced and saved. The paper introduces experience mapping intuitive inversion (EMU) method to the criminal investigation, and poses a skeleton of cooperative reasoning. Through the trusted intuition relationship construction of practical crime model and on-the-spot model, it sets up a couple of mapping-inversion models in information acquisition of human-computer interaction.