2016
DOI: 10.1016/j.fss.2015.09.007
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Basic substructural core fuzzy logics and their extensions: Mianorm-based logics

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Cited by 10 publications
(4 citation statements)
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“…In this paper, we prove that UL ω and IUL ω are standard complete by Wang's constructions in [5] and [6], which are some generalizations of the Jenei and Montagna-style approach for proving standard completeness for monoidal t-norm-based logic MTL [7] and the proof of the standard completeness for IMTL given by Esteva, Gispert, Godo, and Montagna in [8]. These constructions have been extended by Yang in [9][10][11][12].…”
Section: Introductionmentioning
confidence: 87%
“…In this paper, we prove that UL ω and IUL ω are standard complete by Wang's constructions in [5] and [6], which are some generalizations of the Jenei and Montagna-style approach for proving standard completeness for monoidal t-norm-based logic MTL [7] and the proof of the standard completeness for IMTL given by Esteva, Gispert, Godo, and Montagna in [8]. These constructions have been extended by Yang in [9][10][11][12].…”
Section: Introductionmentioning
confidence: 87%
“…Here we recall the most basic substructural core fuzzy logic MIAL and its axiomatic extensions (extensions for short) and their algebraic semantics (See [42] for more detailed introduction of these logics and semantics). The language for these logics is provided over a countable propositional language with Fm (a set of formulas) built from VAR (a set of propositional variables), propositional constants t, f , F, T, and connectives →, , ∧, ∨, &.…”
Section: Algebraic Semantics For Basic Core Fuzzy Logicsmentioning
confidence: 99%
“…But these approaches do not work for UML (= C 2 UL) and IUML (= C 2 IUL with FP). (For the similarities and differences between constructions of Yang and Wang's Jenei-Montagna-style, see Reference [29]).…”
Section: Introductionmentioning
confidence: 99%
“…For convenience, we adopted notations and terminology similar to those in References [9,22,[29][30][31][32][33], and we assume reader familiarity with them (together with results found therein). ¬ϕ := ϕ → f, and df2.…”
Section: Introductionmentioning
confidence: 99%