【摘 要】
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In this paper, we study the problem of rule extraction from data sets using the rough set method. For inconsistent rules due to improper selection of split-poin
【机 构】
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Department of Mechanics and Engineering Science, Peking University, Beijing 100871, China,CIMS Engin
【出 处】
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Tsinghua Science and Technology
论文部分内容阅读
In this paper, we study the problem of rule extraction from data sets using the rough set method. For inconsistent rules due to improper selection of split-points during discretization, and/or to lack of information, we propose two methods to remove their inconsistency based on irregular decision tables. By using these methods, inconsistent rules are eliminated as far as possible, without affecting the remaining consistent rules. Experimental test indicates that use of the new method leads to an improvement in the mean accuracy of the extracted rules.
In this paper, we study the problem of rule extraction from data sets using the rough set method. For inconsistent rules due to improper selection of split-points during discretization, and / or to lack of information, we propose two methods to remove their inconsistency based on irregular decisions tables. By using these methods, inconsistent rules are eliminated as far as possible, without affecting the remaining consistent rules.
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