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Graded Consequence Relations

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Fuzzy Logic

Part of the book series: Trends in Logic ((TREN,volume 11))

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Abstract

Formula (6.1) in Chapter 3 for the canonical extension of a closure operator enables us to apply a crisp deduction apparatus to fuzzy information, i.e., information “stratified” at several levels of validity. Now, it is also possible to apply a “stratified” deduction apparatus (i.e., various deductive instruments each with a related degree of validity) to a crisp information. We can represent such a state of affairs assuming that, for every λ ∈ U, a crisp deduction operator D λ is defined. Given a set X of formulas, we interpret D λ (X) as the set of formulas that we can derive from Xby using arguments which are “reliable” to degree A.

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© 2001 Springer Science+Business Media Dordrecht

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Gerla, G. (2001). Graded Consequence Relations. In: Fuzzy Logic. Trends in Logic, vol 11. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9660-2_7

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  • DOI: https://doi.org/10.1007/978-94-015-9660-2_7

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-5694-8

  • Online ISBN: 978-94-015-9660-2

  • eBook Packages: Springer Book Archive

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