Armin Shmilovici Leib

Senior Academic

Fuzzy systems approximation by fuzzy spline wavelets

Oded Z. Maimon, Armin Shmilovici

Based on the fact that fuzzy systems can be represented as a linear combination of fuzzy basis functions (FBF), it is proposed that spline wavelets scaling functions, will be used as FBF. A fuzzy system built from dilations and translations of a wavelet scaling function can universally approximate any function in a Hilbert space. Such fuzzy systems would also enjoy the excellent numerical and computational characteristics of the fast wavelet transform, while retaining the approximation properties of spline functions.

Publication language English
Pages 1000-1011
Journal Proceedings of SPIE - The International Society for Optical Engineering
Volume 2491
Publication status Published - 06.04.1995

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering
Access to Document
10.1117/12.205459
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Link to publication in Scopus