1. School of Computer and Communication Engineering,University of Science and Technology Beijing,Beijing 100083 2.Beijing Key Laboratory of Knowledge Engineering for Materials Science,University of Science and Technology Beijing,Beijing 10083 3.College of Computer Science and Information Technology,Guangxi Normal University,Guilin 541004
Abstract Since the efficiency of the algorithms for core attribute based on information entropy is not well,the binary discernibility matrix from information view is defined. And it is proved theoretically that the core attribute based on the binary discernibility matrix is equivalent to that based on information entropy. The objects in the decision table are categorized into a consistent set and an inconsistent set,which effectively reduces the search space of algorithm for core attribute. Additionally,for dynamic decision table,the incremental updating mechanism for core attribute is discussed. Based on the mechanism,an efficient incremental updating algorithm for core attribute based on information entropy is proposed. The example analysis and experimental results show that the proposed algorithm outperforms other similar algorithms.
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2013, Vol. 26 
