Rough approximation operators on \(R_0\)-algebras (nilpotent minimum algebras) with an application in formal logic \(\mathcal{L}^\ast\)

DOI10.1016/j.ins.2014.02.005zbMath1354.03098OpenAlexW2053408484MaRDI QIDQ506104

Xiaoli He, Yan-Hong She

Publication date: 31 January 2017

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2014.02.005

zbMATH Keywords

approximate reasoningrough approximationrough similarity degreerough truth degree\(R_0\)-algebra

Mathematics Subject Classification ID

Fuzzy logic; logic of vagueness (03B52) Reasoning under uncertainty in the context of artificial intelligence (68T37) Other algebras related to logic (03G25)

Related Items (8)

A quantitative approach to reasoning about incomplete knowledge ⋮ Algebraic structures related to nilpotent minimum algebras and rough sets1 ⋮ On the union and intersection operations of rough sets based on various approximation spaces ⋮ An information fusion approach by combining multigranulation rough sets and evidence theory ⋮ Rough set models in multigranulation spaces ⋮ \(L\)-fuzzifying approximation operators in fuzzy rough sets ⋮ Monadic bounded hoops ⋮ Novel fuzzy rough set models and corresponding applications to multi-criteria decision-making

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