Fuzzy rule interpolation matlab toolbox - FRI toolbox

Zsolt Csaba Johanyák, Domonkos Tikk, Szilveszter Kovács, Kok Wai Wong

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

36 Citations (Scopus)

Abstract

In most fuzzy systems, the completeness of the fuzzy rule base is required to generate meaningful output when classical fuzzy reasoning methods are applied. This means, in other words, that the fuzzy rule base has to cover all possible inputs. Regardless of the way of rule base construction, be it created by human experts or by an automated manner, often incomplete rule bases are generated. One simple solution to handle sparse fuzzy rule bases and to make infer reasonable output is the application of fuzzy rule interpolation (FRI) methods. In this paper, we present a Fuzzy Rule Interpolation Matlab Toolbox, which is freely available. With the introduction of this Matlab Toolbox, different FRI methods can be used for different real time applications, which have sparse or incomplete fuzzy rule base.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Fuzzy Systems
Pages351-357
Number of pages7
DOIs
Publication statusPublished - Dec 1 2006
Event2006 IEEE International Conference on Fuzzy Systems - Vancouver, BC, Canada
Duration: Jul 16 2006Jul 21 2006

Publication series

NameIEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584

Other

Other2006 IEEE International Conference on Fuzzy Systems
CountryCanada
CityVancouver, BC
Period7/16/067/21/06

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ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

Cite this

Johanyák, Z. C., Tikk, D., Kovács, S., & Wong, K. W. (2006). Fuzzy rule interpolation matlab toolbox - FRI toolbox. In 2006 IEEE International Conference on Fuzzy Systems (pp. 351-357). [1681736] (IEEE International Conference on Fuzzy Systems). https://doi.org/10.1109/FUZZY.2006.1681736