Universal approximators for fuzzy functions

DOI10.1016/S0165-0114(98)00069-4zbMath0969.68130OpenAlexW2055893281MaRDI QIDQ1578737

Feuring, Thomas, Buckley, James J.

Publication date: 4 September 2000

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0165-0114(98)00069-4

zbMATH Keywords

neural netsfuzzy functions

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Fuzzy real analysis (26E50)

Related Items (2)

On approximations of Zadeh's extension principle ⋮ Fuzzy functional analysis. I: Basic concepts

Cites Work

• On using \(\alpha\)-cuts to evaluate fuzzy equations
• Can neural nets be universal approximators for fuzzy functions?
• Fuzzy input-output controllers are universal approximators
• Can fuzzy neural nets approximate continuous fuzzy functions?
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