Abstract
A simplified fuzzy reasoning algorithmic approach for describing the cause -effect relationships in a real technological system is proposed. It uses rule based fuzzy model with simple triangular shape of all the membership functions. In order to determine the number of the fuzzy sets (membership functions) as well as the number of the fuzzy rules, an identification algorithm is proposed. The adjustment of the right part of the rules is done by using real input-output data and Steepest Descent Method. The main features of the proposed identification method are discussed on a numerical example for fuzzy modelling. A method for use of the fuzzy models created in this way for fault diagnosis of an industrial system is also proposed and discus sed in the paper.
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.
