Fuzzy models and interpolation

László T. Kóczy*, János Botzheim, Tamás D. Gedeon

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    8 Citations (Scopus)


    This paper focuses on two essential topics of the fuzzy area. The first is the reduction of fuzzy rule bases. The classical inference methods of fuzzy systems deal with dense rule bases where the universe of discourse is fully covered. By applying sparse or hierarchical rule bases the computational complexity can be decreased. The second subject of the paper is the introduction of some fuzzy rule base identification techniques. In some cases the fuzzy rule base might be given by a human expert, but usually there are only numerical patterns available and an automatic method has to be applied to determine the fuzzy rules.

    Original languageEnglish
    Title of host publicationForging New Frontiers
    Subtitle of host publicationFuzzy Pioneers I
    EditorsMasoud Nikravesh, Lofti A. Zadeh, Janusz Kacprzyk
    Number of pages21
    Publication statusPublished - 2007

    Publication series

    NameStudies in Fuzziness and Soft Computing
    ISSN (Print)1434-9922


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