A fuzzy logic system based on Schweizer-Sklar t-norm

DOI10.1007/s11432-006-0175-yzbMath1122.03025OpenAlexW1895002233MaRDI QIDQ882701

Huacan He, Yang Xu, Xiao Hong Zhang

Publication date: 24 May 2007

Published in: Science in China. Series F (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11432-006-0175-y

zbMATH Keywords

approximate reasoningUL*-algebras

Mathematics Subject Classification ID

Fuzzy logic; logic of vagueness (03B52) Logic in artificial intelligence (68T27) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (4)

Rough implication operator based on strong topological rough algebras ⋮ Multi-criteria decision-making method based on single-valued neutrosophic Schweizer-Sklar Muirhead mean aggregation operators ⋮ Triple I algorithms based on Schweizer-Sklar operators in fuzzy reasoning ⋮ Some interval-valued intuitionistic fuzzy Schweizer–Sklar power aggregation operators and their application to supplier selection

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Uncertain logics, variables and systems
• Monoidal t-norm based logic: Towards a logic for left-continuous t-norms
• Formalized theory of general fuzzy reasoning.
• Triangular norms
• Parameterized R-implications
• The fuzzy Riemann integral and its numerical integration
• Residuated fuzzy logics with an involutive negation
• Parameterized fuzzy operators in fuzzy decision making

This page was built for publication: A fuzzy logic system based on Schweizer-Sklar t-norm