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Non-monotonic reasoning in prioritized knowledge bases based on granular reasoning
Description
We propose a method of semantically nonmonotonic reasoning in prioritized knowledge bases based on incomplete information systems and granular reasoning. Our nonmonotonic reasoning is characterized as "reasoning with disregard of difference of detail." We provide granularized models and priority of each rule, and formulate the method of semantically non-monotonic reasoning based on the idea of ignored sets, rejected sets and possible tuples of atomic sentences that we propose.
Journal
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- 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542)
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2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542) 1 275-280, 2005-02-22
IEEE