ON A METHOD TO EXTRACT RULES FROM A TABLE WITH NON-DETERMINISTIC INFORMATION: A ROUGH SETS BASED APPROACH
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概要
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Rough sets theory is now becoming a mathematical foundation of soft computing. This theory makes use of equivalence relations defined for each set of attributes in any table, and applies the concept like definability of a set, dependency among attributes, reduction of data, rule extraction, etc., to data analysis. In this paper, a problem of knowledge discovering in the form of rules from any table with non-deterministic information is discussed. At first, the rough sets based concept including rule extraction is surveyed, and this concept is extended to new one related to non-deterministic information. Then, a framework of rule extraction from tables with non-deterministic information is proposed, and some algorithms for handling such new concept are presented. Also implemented programs and a real execution of these programs are shown.
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