• DocumentCode
    2911662
  • Title

    General Takagi-Sugeno fuzzy systems are universal approximators

  • Author

    Ying, Hao

  • Author_Institution
    Dept. of Physiol. & Biophys., Texas Univ. Med. Branch, Galveston, TX, USA
  • Volume
    1
  • fYear
    1998
  • fDate
    4-9 May 1998
  • Firstpage
    819
  • Abstract
    We prove that a general class of multi-input single-output Takagi-Sugeno (TS) fuzzy systems are universal approximators. The fuzzy systems studied in this paper are general and typical: they use any types of continuous fuzzy sets, any types of fuzzy logic AND, fuzzy rules with linear TS rule consequent and the generalized defuzzifier containing the popular centroid defuzzifier as a special case. We first constructively prove that the general TS fuzzy systems can uniformly approximate any multivariate polynomial with arbitrarily small error and then prove that the general fuzzy systems can uniformly approximate any multivariate continuous function with arbitrarily high approximation accuracy
  • Keywords
    function approximation; fuzzy logic; fuzzy set theory; fuzzy systems; polynomials; Takagi-Sugeno fuzzy systems; defuzzifier; function approximation; fuzzy logic; fuzzy rules; fuzzy set theory; multivariate polynomial; universal approximators; Biomedical engineering; Biophysics; Context modeling; Fuzzy control; Fuzzy systems; Input variables; Medical control systems; Physiology; Polynomials; Takagi-Sugeno model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1098-7584
  • Print_ISBN
    0-7803-4863-X
  • Type

    conf

  • DOI
    10.1109/FUZZY.1998.687596
  • Filename
    687596