The Application of Fuzzy Comprehensive Evaluation in CBR System

In the case-based reasoning (CBR) system, the weight determination of cases characters plays a great role in the process of case retrieval, case rewriting and case saving. The fuzzy comprehensive evaluation is proposed to determine the weights of cases characters in CBR system. Taking the high-speed cutting database system for example, the weighting factors affecting the high-speed cutting parameter determining are researched, and the comprehensive weights of the different character property are obtained by using two-level fuzzy comprehensive evaluation based on the scores of several experts. The various factors affecting expert´s judgment are full considered and the opinions from each expert are well combined in this way. As a new method to confirm primary weights in the training stage of case-based reasoning, it is applied in the case-based reasoning high-speed cutting database system and proved to be effective.