Abstract
In this chapter we deal with the identification of an optimal linguistic fuzzy model via the use of an evolutionary search technique., e.g., genetic algorithms. First some theoretical aspects of linguistic fuzzy models will be presented. Second, the identification problem in the context of fuzzy models will be discussed, and the structure identification and parameter estimation methods that form the subject of this chapter will be presented. Third, we illustrate the use of the identification method proposed by an example and discuss the results obtained. Finally, practical aspects concerning the implementation of the proposed method are examined.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
