Case-Retrieving Model Based on User Classification in CBR System

Abstract

The importance of case-retrieving method selection in the CBR system is analyzed, and the defaults of traditional retrieving methods which make use of fuzzy distance to describe the distance in the similar cases are pointed out. A model for case- retrieving based on user classification is presented after the introduction of the basic principle and process of CBR. By this case-retrieving method, the retrieving fields are divided into several case bases according to user’s fondness, and it will promote the retrieving speed.