Abstract
The reasoning methods in fuzzy rule-based classification systems are studied, and their relation to multipolar aggregation operators is discussed. We describe the change in the output of the classification system based on the change of the fuzzy reasoning method. We propose a new fuzzy reasoning method based on multipolar fusion OWA operator which can control the transition between the maximum rule method and the maximum vote method by a weighting vector. This new method uses principles of OWA operators and assigns the rule weight according to the strength of activation of the rule. We compare different fuzzy reasoning methods in case studies.
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.
