Computer Science ›› 2007, Vol. 34 ›› Issue (8): 193-195.
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QU Bin-Bin, LU Yan-Sheng (College of Computer Science & Technology, Huazhong University of Science & Technology, Wuhan 430074)
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Abstract: The incompleteness of information about objects may be the greatest obstruct to performing induction learning from example. In this paper, the concept of limited non-symmetric similarity relation is defined and then classical discernibility matrix is exte
Key words: Rough sets, Incomplete information systems, Limited non-symmetric similarity relation, Rule extraction
QU Bin-Bin, LU Yan-Sheng (College of Computer Science & Technology, Huazhong University of Science & Technology, Wuhan 430074). [J].Computer Science, 2007, 34(8): 193-195.
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