Study Of Car Purchase Intelligent Decision Support System Based On Case-Based Reasoning

The paper briefly introduces the basic theory of intelligent decision support system which based on case-based reasoning, and analyzes the current car market of China, the consumption demand factors as well as the purchase decision factors of consumer. Based on these the paper presents that applying the based on case-based reasoning intelligent decision support system to car purchase decision. Accounts for necessity of combining CBR with RBR after analyzing the defects and merits, constructs the reasoning framework which integrates CBR and RBR, and builds the similarity measure modal for case. For the base property of car purchase factors, the requests of knowledge express and knowledge retrieve for car purchase decision factors are analyzed, and frame express as well as object oriented is used to design the knowledge framework and knowledge-base, which realizes the high efficiency for case retrieve through CRN and grouping case property. Through test, the system passed, which illustrates the design reasonable, available.