Proceedings of the Fuzzy System Symposium
29th Fuzzy System Symposium
Session ID : MA1-3
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Reduction of Computing Time for Rule Extraction Method Using Logic Minimization
*Takuya NishidukaYasuo KudoNoboru Takagi
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Abstract
In this paper, we propose a revised method of rule extraction from decision tables using logic minimization technique. Rule extraction using logic minimization technique has been proposed as one of the method of heuristic rule extraction from decision tables. The authors have improved the method of rule extraction from large scale decision table, by improving the algorithm of expansion process. As a result, we can reduce redundant rule but calculation time increased. In this paper, we try to reduce calculation time by improving the algorithm further. We also verify the effectiveness of proposed algorithm comparing it with existing algorithm.
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© 2013 Japan Society for Fuzzy Theory and Intelligent Informatics
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