Definition
Approximate reasoning is a deduction method which makes it possible to derive a conclusion on the basis of imprecisely characterized situation (quite often using linguistically specified fuzzy IF-THEN rules) and a new information that can also be imprecise. The basic scheme of approximate reasoning is the following:
where “Condition” is a linguistic description consisting of a set of fuzzy/linguistic IF-THEN rules and A ′ is a possible modification of antecedent of some of the former rules. For example, “X is small” can be replaced by “X is very small.”
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Recommended Reading
Klir GJ, Yuan B. Fuzzy sets and fuzzy logic: theory and applications. New York: Prentice-Hall; 1995.
Novák V, Lehmke S. Logical structure of fuzzy IF-THEN rules. Fuzzy Sets Syst. 2006;157:2003–29.
Novák V, Perfilieva I. On the semantics of perception-based fuzzy logic deduction. Int J Intell Syst. 2004;19:1007–31.
Novák V., Perfilieva I., and Močkoř J. Mathematical principles of fuzzy logic. Kluwer, Boston/Dordrecht, 1999.
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Novák, V. (2016). Approximate Reasoning. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_5012-2
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DOI: https://doi.org/10.1007/978-1-4899-7993-3_5012-2
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