Title :
Improved case reasoning model and application
Author :
Shen, Qi ; Chen, Ai-ping
Author_Institution :
Sch. of Inf. Technol., Jinling Inst. of Technol., Nanjing, China
Abstract :
As a kind of reasoning technique of artificial intelligence, case-based reasoning (CBR) has been successfully applied in many engineering field. Similar case retrieval is a key technology in CBR system. In order to improve the case retrieval efficiency, a case reasoning model based on gray relation and synthesize weight was proposed, applying the gray relational analysis in case reasoning and combining subjective and objective feature weight to calculate case similarity. Empirical results prove that this method can effectively improve the case retrieval efficiency and case reasoning accuracy.
Keywords :
case-based reasoning; CBR; artificial intelligence; case retrieval efficiency; case-based reasoning; gray relational analysis; synthesize weight; Analytical models; Artificial intelligence; Cognition; Educational institutions; Frequency modulation; Information technology; Medical services; case retrieval; case-based reasoning; gray relation; k-nearest neighbors; synthesize weight;
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
DOI :
10.1109/AIMSEC.2011.6010352