Takagi-sugeno approximation of a mamdani fuzzy system

Barnabas Bede, I. Rudas

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In the present paper we construct a higher order Takagi- Sugeno fuzzy system that approximates a Mamdani fuzzy system, with arbitrary accuracy. The goal of this construction is to reduce the computational complexity of a fuzzy systems considered, also to replace a nonlinear operator by an approximate linear operator. The proposed methodology is fully constructive, so it does not require training of the Takagi-Sugeno fuzzy system. The construction combines Takagi-Sugeno systems with the classical Lagrange interpolation.

Original languageEnglish
Title of host publicationAdvance Trends in Soft Computing: Proceedings of WCSC 2013, December 16-18, San Antonio, Texas, USA
PublisherSpringer Verlag
Pages293-300
Number of pages8
Volume312
ISBN (Print)9783319036731
DOIs
Publication statusPublished - Jan 1 2014

Publication series

NameStudies in Fuzziness and Soft Computing
Volume312
ISSN (Print)14349922

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ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computational Mathematics

Cite this

Bede, B., & Rudas, I. (2014). Takagi-sugeno approximation of a mamdani fuzzy system. In Advance Trends in Soft Computing: Proceedings of WCSC 2013, December 16-18, San Antonio, Texas, USA (Vol. 312, pp. 293-300). (Studies in Fuzziness and Soft Computing; Vol. 312). Springer Verlag. https://doi.org/10.1007/978-3-319-03674-8_5