Adaptive CBR model based on result domain matching for emergency decision making

Existing studies on Case-based Reasoning have deficiencies in mode cognition when cases are matching. By analyzing the mechanism of reasoning, a CBR model based on result domain matching for emergency decision making is proposed in this paper. Through identifying the mode of cases matching, the solution is reasoned by self-adaptive control algorithm according to result domain matching. The application of emergency rescue for gas explosion in coal mine indicates that solution obtained by the proposed CBR model based on result domain matching is able to approach to the ideal solution closer, and the solving process is more controllable.