Evolutionary optimization of interval type-2 membership functions

Roberto Sepúlveda, Oscar Castillo, Patricia Melin, Oscar Montiel

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

3 Scopus citations

Abstract

Uncertainty is an inherent part in controllers used for real-world applications. The use of new methods for handling incomplete information is of fundamental importance in engineering applications. We simulated the effects of uncertainty produced by the instrumentation elements in type-1 and type-2 fuzzy logic controllers to perform a comparative analysis of the systems' response, in the presence of uncertainty. We are presenting an innovative idea to optimize interval type-2 membership functions, we are showing comparative results of the optimized proposed method. We found that the optimized membership functions for the inputs of a type-2 system increases the performance of the system for high noise levels.

Original languageEnglish
Title of host publicationProceedings of the 2006 International Conference on Artificial Intelligence, ICAI'06
Pages558-564
Number of pages7
StatePublished - 2006
Event2006 International Conference on Artificial Intelligence, ICAI'06 - Las Vegas, NV, United States
Duration: 26 Jun 200629 Jun 2006

Publication series

NameProceedings of the 2006 International Conference on Artificial Intelligence, ICAI'06
Volume2

Conference

Conference2006 International Conference on Artificial Intelligence, ICAI'06
Country/TerritoryUnited States
CityLas Vegas, NV
Period26/06/0629/06/06

Keywords

  • Evolutionary algorithm
  • Fuzzy control
  • Interval type-2 fuzzy logic

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