Non-parametric and parametric t-norms applied in fuzzy rule extraction

László Gál, Rita Lovassy, László T. Kóczy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we propose non-parametric t-norms such as algebraic, trigonometric and Hamacher product, furthermore parametric Hamacher t-norm in Mamdani type inference systems. Various models with trapezoidal shaped fuzzy membership function are applied in order to improve the efficiency of bacterial memetic algorithm in automatic fuzzy rule identification.

Original languageEnglish
Title of host publicationICCC 2013 - IEEE 9th International Conference on Computational Cybernetics, Proceedings
Pages299-302
Number of pages4
DOIs
Publication statusPublished - Nov 7 2013
EventIEEE 9th International Conference on Computational Cybernetics, ICCC 2013 - Tihany, Hungary
Duration: Jul 8 2013Jul 10 2013

Publication series

NameICCC 2013 - IEEE 9th International Conference on Computational Cybernetics, Proceedings

Other

OtherIEEE 9th International Conference on Computational Cybernetics, ICCC 2013
CountryHungary
CityTihany
Period7/8/137/10/13

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications

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  • Cite this

    Gál, L., Lovassy, R., & Kóczy, L. T. (2013). Non-parametric and parametric t-norms applied in fuzzy rule extraction. In ICCC 2013 - IEEE 9th International Conference on Computational Cybernetics, Proceedings (pp. 299-302). [6617607] (ICCC 2013 - IEEE 9th International Conference on Computational Cybernetics, Proceedings). https://doi.org/10.1109/ICCCyb.2013.6617607