Knowledge Discovery for Case Revising in CBR System

Case revising is a crucial but difficult step in case-based reasoning (CBR) system. In this paper, the case revising rule, gained by applying intelligent retrieving method, is to help decision maker revise the casepsilas scheme. Generally it consists of secondary revising rules and primary revising rules. Firstly the rough set theory is applied to get the Secondary Revising Rules. Secondly, with the case revising transactions set obtained from decision makers as reference, the association rules mining method is employed to get the Primary Case Revising Rules. Lastly, by combining the two types of rules, the author expounds the detailed case Revising procedure.