Abstract
This paper is a humble homage to Enric Trillas. Following his foundational contributions on models of ordinary reasoning in an algebraic setting, we study here elements of these models, like conjectures and hypothesis, in the logical framework of continuous t-norm based fuzzy logics. We consider notions of consistency, conjecture and hypothesis arising from two natural families of consequence operators definable in these logics, namely the ones corresponding to the so-called truth-preserving and degree-preserving consequence relations. We pay special attention to the particular cases of three prominent fuzzy logics: Gödel, Product and Łukasiewicz logics
A previous version of this paper appeared in Actas del XVII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2014), F. Bobillo et al. (eds.), pp. 435–440.
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- 1.
Here by a theory we just mean a set of formulas, so not necessarily closed under consequence.
- 2.
We assume readers to be familiar with the notions of t-norm, the three basic continuous t-norms, i.e. minimum, product and Łukaseewicz t-norm, and the notion of ordinal sum. We also assume familiarity with the decomposition of continuous t-norm as ordinal sums of isomorphic copies of the three basic continuous t-norms.
- 3.
Recall that in a SBL-chain, both \(\lnot \lnot 0 = 0\) and \(\lnot \lnot x = 1\) if \(x > 0\). Moreover \(\lnot \lnot \) defines a morphism from the algebra \(([0, 1],\star ,\Rightarrow _\star ,0,1)\) into itself.
- 4.
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Acknowledgments
This work has been partially supported by the Spanish projects TIN2012-39348-C02-01 (Esteva and Godo) and TIN2011-29827-C02-01 (García-Honrado).
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Esteva, F., García-Honrado, I., Godo, L. (2015). On Conjectures in t-Norm Based Fuzzy Logics. In: Magdalena, L., Verdegay, J., Esteva, F. (eds) Enric Trillas: A Passion for Fuzzy Sets. Studies in Fuzziness and Soft Computing, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-319-16235-5_9
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DOI: https://doi.org/10.1007/978-3-319-16235-5_9
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