On the characterization of fuzzy implications satisfying the laws of left or right contraposition

The law of contraposition is one of the most well-known tautologies in classical logic. In addition, there are two other notions of contrapositions: the law of right contraposition and the law of left contraposition. In fuzzy logic, these tautologies are modeled by a fuzzy implication and a fuzzy negation. The characterization of fuzzy implications satisfying the laws of right or left contraposition with respect to an arbitrary fuzzy negation is a problem that has gained attention recently. This article aims to propose characterizations of such implications, presenting necessary and sufficient conditions under which a fuzzy implication satisfies these laws with respect to an arbitrary fuzzy negation.

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Publication Details

Journal
Fuzzy Sets and Systems
Published
2026-03-04
DOI
https://doi.org/10.1016/j.fss.2026.109851
Primary Topic
Fuzzy Systems and Optimization
Type
article
Field-Weighted Citation Impact
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article

On the characterization of fuzzy implications satisfying the laws of left or right contraposition

Landerson Bezerra Santiago, Fernando Neres, Regivan Santiago, Heloisa Frazao
Fuzzy Sets and Systems
Fuzzy Systems and Optimization
article

On the characterization of fuzzy implications satisfying the laws of left or right contraposition

Landerson Bezerra Santiago, Fernando Neres, Regivan Santiago, Heloisa Frazao
article en

Abstract

The law of contraposition is one of the most well-known tautologies in classical logic. In addition, there are two other notions of contrapositions: the law of right contraposition and the law of left contraposition. In fuzzy logic, these tautologies are modeled by a fuzzy implication and a fuzzy negation. The characterization of fuzzy implications satisfying the laws of right or left contraposition with respect to an arbitrary fuzzy negation is a problem that has gained attention recently. This article aims to propose characterizations of such implications, presenting necessary and sufficient conditions under which a fuzzy implication satisfies these laws with respect to an arbitrary fuzzy negation.

Fuzzy Sets and SystemsVol. 534
Universidade Federal do Rio Grande do Norte (BR), Universidade Federal Rural do Semi-Árido (BR)
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 40%
Fuzzy Systems and Optimization
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