Using One Axiom to Characterize Fuzzy Rough Approximation Operators Determined by a Fuzzy Implication Operator

DOI10.3233/FI-2015-1285zbMath1346.68211WikidataQ114002105 ScholiaQ114002105MaRDI QIDQ2823243

Shen-Ming Gu, Wei-Zhi Wu, Tong-Jun Li

Publication date: 6 October 2016

Published in: Fundamenta Informaticae (Search for Journal in Brave)

zbMATH Keywords

rough setstriangular normsfuzzy rough setsapproximation operatorsfuzzy implication operators

Mathematics Subject Classification ID

Fuzzy logic; logic of vagueness (03B52) Theory of fuzzy sets, etc. (03E72) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (6)

Axiomatic characterizations of \(L\)-valued rough sets using a single axiom ⋮ \(L\)-fuzzifying approximation operators in fuzzy rough sets ⋮ Using one axiom to characterize \(L\)-fuzzy rough approximation operators based on residuated lattices ⋮ Single axioms for lower fuzzy rough approximation operators determined by fuzzy implications ⋮ New results on single axioms for \(L\)-fuzzy rough approximation operators ⋮ \(L\)-fuzzy rough approximation operators via three new types of \(L\)-fuzzy relations

This page was built for publication: Using One Axiom to Characterize Fuzzy Rough Approximation Operators Determined by a Fuzzy Implication Operator