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Approximate Reasoning

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Encyclopedia of Database Systems
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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:

$$ \begin{array}{ll}\mathrm{Condition}:& \mathrm{IF}X\mathrm{is}{A}_1\mathrm{THEN}Y\mathrm{is}{B}_1\\ &\dots \dots \dots \dots \dots \dots \dots \dots \dots \dots \\ &\mathrm{IF}X\mathrm{is}{A}_m\mathrm{THEN}Y\mathrm{is}{B}_m\\ &\mathrm{Premise}:X\mathrm{is}{A}^{\prime}\\ &\dots \dots \dots \dots \dots \dots \dots \dots \dots \dots \\ &\mathrm{Conclusion}:Y\mathrm{is}{B}^{\prime}\end{array} $$
(1)

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

  1. Klir GJ, Yuan B. Fuzzy sets and fuzzy logic: theory and applications. New York: Prentice-Hall; 1995.

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  2. Novák V, Lehmke S. Logical structure of fuzzy IF-THEN rules. Fuzzy Sets Syst. 2006;157(15):2003–29.

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  3. Novák V, Perfilieva I. On the semantics of perception-based fuzzy logic deduction. Int J Intell Syst. 2004;19:1007–31.

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  4. Novák V., Perfilieva I., and Močkoř J . Mathematical principles of fuzzy logic. Kluwer, Boston/Dordrecht, 1999.

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Correspondence to Vilém Novák .

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Novák, V. (2018). Approximate Reasoning. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_5012

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