Abstract
In this paper, a method of constructing fuzzy if-then rules in an expert system is described by the proposed approach, where the lower approximations in rough sets are used to extract if-then rules from the given information system and fuzzy if-then rules are constructed from the extracted if-then rules.
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References
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© 1992 Springer Science+Business Media Dordrecht
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Tanaka, H., Ishibuchi, H., Shigenaga, T. (1992). Fuzzy Inference System Based on Rough Sets and Its Application to Medical Diagnosis. In: Słowiński, R. (eds) Intelligent Decision Support. Theory and Decision Library, vol 11. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-7975-9_8
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DOI: https://doi.org/10.1007/978-94-015-7975-9_8
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4194-4
Online ISBN: 978-94-015-7975-9
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