Proceedings of the Fuzzy System Symposium
21st Fuzzy System Symposium
Session ID : 7D4-5
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Host: Japan Society for Fuzzy Theory and Intelligent Informatics

Co-host: International Fuzzy Systems Association, IEEE Computational Intelligence Society Japan Chapter

7D4.
Rough Sets Handling Data Tables Containing Probabilistic Information
*Michinori Nakata
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Keywords: Rough sets, Information Processing, Knowledge discovery, Imprecise Information
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Abstract
Rough sets are extended to handle data tables containing probabilistic information. A family of graded equivalence classes are obtained from the indiscernible set for an object. By using the family of graded equivalence classes we can derive lower and upper approximations. The lower and upper approximations coinside with those obtained from methods based on possible worlds. The extended rough sets satisfy the correctness criterion that is used on the field of incomplete databases.
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© 2005 Japan Society for Fuzzy Theory and Intelligent Informatics
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