ARE FUZZY SYSTEMS UNIVERSAL APPROXIMATORS?
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Publication:4700235
DOI10.1080/03081079908935238zbMath0936.93034OpenAlexW2070221455MaRDI QIDQ4700235
László T. Kóczy, Bernhard A. Moser, Erich Peter Klement
Publication date: 7 December 1999
Published in: International Journal of General Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03081079908935238
Related Items (7)
A class of universal approximators of real continuous functions revisited ⋮ Interpretability and learning in neuro-fuzzy systems ⋮ A survey on universal approximation and its limits in soft computing techniques. ⋮ Notes on the approximation rate of fuzzy KH interpolators. ⋮ A sufficient condition on a general class of interval type-2 Takagi-Sugeno fuzzy systems with linear rule consequent as universal approximators ⋮ Kernel shapes of fuzzy sets in fuzzy systems for function approximation ⋮ Algorithmic aspects of fuzzy control
Cites Work
- Unnamed Item
- Unnamed Item
- Statistics with vague data
- Sur le théorème de superposition de Kolmogorov
- The concept of a linguistic variable and its application to approximate reasoning. I
- Approximate reasoning by linear rule interpolation and general approximation
- Controllable processes and the fuzzy controller
- Sugeno type controllers are universal controllers
- Analysis on function duplicating capabilities of fuzzy controllers
- Interpolative reasoning with insufficient evidence in sparse fuzzy rule bases
- Fuzzy logic in control systems: fuzzy logic controller. II
- An experiment in linguistic synthesis with a fuzzy logic controller
- Outline of a New Approach to the Analysis of Complex Systems and Decision Processes
- Metric Entropy, Widths, and Superpositions of Functions
- Fuzzy sets
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