Determination of case factors similitude weight in CBR high-speed machining database system

Case-based reasoning (CBR) is an available approach for developing high-speed machining database. In the case-based reasoning high-speed cutting parameter database system, the determination of cases factors similitude weight plays a great role in the process of case retrieval, case rewriting and case saving. The weighting factors affecting the high-speed cutting parameter determining were researched and the similitude weights of the different case factors were obtained by using two stages fuzzy comprehensive evaluation based on the scores of several experts. The various factors affecting expert´s judgment were full considered and the opinions from each expert were well combined in this way. It was applied in the case-based reasoning high-speed cutting database system for the auto panel dies manufacture and proved to be effective. The case similarity was more accurate calculated by using the factor similitude weights and the case retrieval result was more feasible in the application.