Fuzzy systems with interpolation. An overview

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

One of the main questions related to fuzzy systems regards the execution time of the algorithms used. This paper presents some efficient methods in this respect. Another characteristic of the presented algorithms is that they can deal also with gaps of information, situation which generally is not handled by the so-called "classical" methods. The first interpolation method - the KH interpolation - is thoroughly discussed, and afterwards - MACI - the most recent improvement of it is also described. Some other, conceptually different methods conclude the survey.

Original languageEnglish
Pages2494-2498
Number of pages5
Publication statusPublished - Dec 1 2001
EventJoint 9th IFSA World Congress and 20th NAFIPS International Conference - Vancouver, BC, Canada
Duration: Jul 25 2001Jul 28 2001

Other

OtherJoint 9th IFSA World Congress and 20th NAFIPS International Conference
CountryCanada
CityVancouver, BC
Period7/25/017/28/01

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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    Kóczy, L. T., Tikk, D., & Muresan, L. (2001). Fuzzy systems with interpolation. An overview. 2494-2498. Paper presented at Joint 9th IFSA World Congress and 20th NAFIPS International Conference, Vancouver, BC, Canada.