Fuzzy systems approximation by fuzzy spline wavelets

Oded Z. Maimon, Armin Shmilovici

Research output: Contribution to journalConference articlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)1000-1011
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume2491
DOIs
StatePublished - 6 Apr 1995
Externally publishedYes
EventWavelet Applications II 1995 - Orlando, United States
Duration: 17 Apr 199521 Apr 1995

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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