Title :
Adaptive CBR model based on result domain matching for emergency decision making
Author :
Ke Jing ; Liang Tang
Author_Institution :
Sch. of Econ. & Manage., Shenyang Aerosp. Univ., Shenyang, China
Abstract :
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.
Keywords :
adaptive control; case-based reasoning; cognition; decision making; emergency services; adaptive CBR model; case-based reasoning; coal mine; emergency decision making; emergency rescue; gas explosion; mode cognition; result domain matching; self-adaptive control algorithm; Accidents; Adaptation models; Cognition; Decision making; Equations; Explosions; Mathematical model; Case-based Reasoning; matching mode; result domain matching; self-adaptive control;
Conference_Titel :
Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
Conference_Location :
Sapporo
Print_ISBN :
978-1-4799-3196-5
DOI :
10.1109/InfoSEEE.2014.6948124