Wang Zhonghao  Shao Xinyu  Zhang Guojun  Li Peigen

(Intelligent Manufacturing Laboratory of Educational Ministry, Huazhong University of Science &  Technology, Wuhan 430074 )

Abstract: The preferential process knowledge is the most important knowledge which the decision-makers and the designers are concerned with. As to the complex characteristics of the process attributes, it utilizes the extended rough set model, extends the classical rough set model used for knowledge discovery and discovers the preferential process knowledge with indiscernibility relation, similarity relation and dominance relation synthetically, i.e. multiple relations. Secondly, it presents some key methods and algorithms, such as the pretreatment methods and reduction algorithm for the process attributes, the presentation of the preferential rules and induction algorithm of the preferential knowledge. Finally, an instance is verified based on the process information table of the bore machining. The result proves that the preferential process knowledge discovered based on the extended rough set model is the key one that can guard the decision-makers to carry out decisions directly and efficiently, for it has left out the evaluation procedure of the process rules based on support, confidence and certainty.

Key words: Rough set  Process planning  Knowledge discovery  Preferential knowledge

CLC No: TP391.7

国家自然科学基金(50275056)和国家863高科技(2003AA411042)资助项目. Received 20040413, received in revised form 20050309