Abstract
In this paper, we describe a design methodology for fuzzy inference systems based on regression trees. Fuzzy associative memory banks with symmetric triangular fuzzy membership functions are constructed by using sample data statistics of regression tree partitions. We propose a new fuzzy inference method that takes the membership of the average of normalized input features in the antecedent of a production rule.
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.
