A method for automatic generation of a fuzzy model

J. Yen, H. Wang, J. Liao

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

6 Scopus citations

Abstract

The goal of this research is to develop a method to automate the process of fuzzy model construction. The method we developed extends the existing methods and is based on a combination of genetic algorithms and statistic techniques. The preliminary testing shows that it has the advantages of implementation simplicity, a short training cycle and simple resulting fuzzy model.

Original languageEnglish (US)
Title of host publicationIFIS 1993 - 3rd International Conference on Industrial Fuzzy Control and Intelligent Systems
EditorsReza Langarl, John Painter, John Yen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages88-92
Number of pages5
ISBN (Electronic)0780314859, 9780780314856
DOIs
StatePublished - Jan 1 1993
Event3rd International Conference on Industrial Fuzzy Control and Intelligent Systems, IFIS 1993 - Houston, United States
Duration: Dec 1 1993Dec 3 1993

Publication series

NameIFIS 1993 - 3rd International Conference on Industrial Fuzzy Control and Intelligent Systems

Conference

Conference3rd International Conference on Industrial Fuzzy Control and Intelligent Systems, IFIS 1993
CountryUnited States
CityHouston
Period12/1/9312/3/93

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Industrial and Manufacturing Engineering
  • Control and Optimization
  • Logic

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