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《Journal of Shanghai Jiaotong University》 1998-12
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Generating Multiple Knowledge Bases Using Rough Set in Data Mining

Yang Hui, Wang Huanchen School of Management, Shanghai Jiaotong University, China  
A new approach to generate multiple knowledge using rough set in data mining is presen ted, which is based on the reduction and decision matrix of the rough set theory. It first eliminates the superfluous attributes from the knowledge representation system to produce a reduction table and form a simple knowledge representation system to improve the efficiency and accuracy of the learning. Next, the decision matrices are derived from the reduction table and the minimal decision rules are obtained through the decision matrices. A set of reduction which include all the indispensable attributes is computed. Algorithms which compute the minimal decision rules and multiple reduction are given. Finally, the minimal decision rules are grouped to the corresponding reduction to form multiple knowledge bases and the algorithm of generating multiple knowledge bases is given.
【CateGory Index】: N03
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