Abstract

In this chapter, we deal with the identification of linguistic fuzzy models (or Mamdani fuzzy models) for multiple-input/single-output (MISO) systems. We consider a variant of the classical linguistic fuzzy model in which there does not exist a pre-determined relationship between the linguistic values of the input and output variables and the membership functions used to define the meaning (semantics) of these linguistic values. We call this type of linguistic fuzzy model an approximative linguistic fuzzy model [4, 10].

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 call

Disclaimer: 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.