An inversion method for interval type-2 fuzzy logic systems

Tufan Kumbasar*, Ibrahim Eksin, Mujde Guzelkaya, Engin Yesil

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

It is a known fact that type-2 fuzzy sets can represent highly nonlinear and/or uncertain systems much better than ordinary (type-1) fuzzy logic systems. Lately, interval type-2 fuzzy logic system inversion methods have been proposed and applied in various areas especially in control system design. In this study, an analytical methodology has been developed to form the inverse of the interval type-2 fuzzy models composed of four rules. However, since the interval type-2 fuzzy logic system output can not be presented in a closed form an iterative algorithm is proposed based on the developed analytical methodology. In order to demonstrate the feasibility of the proposed methodology, an illustrative study is given where the beneficial sides are shown clearly.

Original languageEnglish
Title of host publicationProceedings of the 2011 11th International Conference on Intelligent Systems Design and Applications, ISDA'11
Pages760-765
Number of pages6
DOIs
Publication statusPublished - 2011
Event2011 11th International Conference on Intelligent Systems Design and Applications, ISDA'11 - Cordoba, Spain
Duration: 22 Nov 201124 Nov 2011

Publication series

NameInternational Conference on Intelligent Systems Design and Applications, ISDA
ISSN (Print)2164-7143
ISSN (Electronic)2164-7151

Conference

Conference2011 11th International Conference on Intelligent Systems Design and Applications, ISDA'11
Country/TerritorySpain
CityCordoba
Period22/11/1124/11/11

Keywords

  • Interval Type-2 Fuzzy Logic Systems
  • Inversion
  • Type-2 Fuzzy Sets

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