2017
DOI: 10.1007/978-3-662-55665-8_1
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A Logical Framework for Graded Predicates

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Cited by 7 publications
(7 citation statements)
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“…It is natural to model graded n-ary relations (and, as a special case, vague relations) as functions from n-tuples of individuals to some (linearly ordered) set of truth degrees. The usual approach is to take an algebra based on the real unit interval [0, 1]; see (Cintula, Noguera, and Smith 2017;Hájek 1998;Smith 2008). For instance, Tall(john) may evaluate to 0.9 if John is 180 cm tall and Tall(jack) may evaluate to 0.3 if Jack is 170 cm tall.…”
Section: Modelling Truth Degreesmentioning
confidence: 99%
See 1 more Smart Citation
“…It is natural to model graded n-ary relations (and, as a special case, vague relations) as functions from n-tuples of individuals to some (linearly ordered) set of truth degrees. The usual approach is to take an algebra based on the real unit interval [0, 1]; see (Cintula, Noguera, and Smith 2017;Hájek 1998;Smith 2008). For instance, Tall(john) may evaluate to 0.9 if John is 180 cm tall and Tall(jack) may evaluate to 0.3 if Jack is 170 cm tall.…”
Section: Modelling Truth Degreesmentioning
confidence: 99%
“…Such results are the main contribution of the present paper. 1 Graded concepts are "a matter of more-or-less" (Cintula, Noguera, and Smith 2017); e.g. consider the role :IsEasilyAcces-sibleFrom or the concept GoodRestaurant (restaurants are good to a degree, some being better than others; physical locations are easily accessible from one another to a degree, some being more easy to get to than others).…”
Section: Introductionmentioning
confidence: 99%
“…As underlying propositional basis for the first-order predicate formalism, we choose a well-established class of propositional fuzzy logics: residuated uninormbased logics (studied in [28]). Such class provides a reasonable framework with several advantages: (1) it contains most of the well-studied particular systems of fuzzy logic that can be found in the literature, (2) it includes weakening-free logics and, hence, it benefits from their modeling power for reasoning with graded predicates as argued in [10], and (3) it retains the properties of associativity and commutativity of the residuated conjunction which simplifies the language and the formulation of many results.…”
Section: Fuzzy First-order Modelsmentioning
confidence: 99%
“…Most of the well-studied particular systems of fuzzy logic that can be found in the literature can be given a semantics on these algebras (cf. [6]).…”
Section: Graded Structuresmentioning
confidence: 99%
“…6 Let xA, My be a countable weighted graph (where A is also countable). Then the following are equivalent.…”
mentioning
confidence: 99%