Evolutionary computation and rough set-based hybrid approach to rule generation

Authors:
Lin Shang;Qiong Wan;Zhi-Hong Zhao;Shi-Fu Chen
Affiliations:
National Laboratory for Novel Software Technology, Nanjing University, Nanjing, P.R. China;National Laboratory for Novel Software Technology, Nanjing University, Nanjing, P.R. China;Software Institute, Nanjing University, Nanjing, P.R. China;National Laboratory for Novel Software Technology, Nanjing University, Nanjing, P.R. China
Venue:
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Year:
2005

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Abstract

This paper presents the rule generation method based on evolutionary computation and rough set, which integrates the procedure of discretization and reduction using information entropy-based uncertainty measures and evolutionary computation. Based on the definitions of certain rules and approximate certain rules, the paper focuses on the reduction by meanings of evolutionary computation. Experimental results reveal that the proposed method leads to better classification quality and smaller number of decision rules comparing with other methods.