Abstract
OWA (Ordered Weighted Averaging) operator provides a general class of parameterized mean type aggregation operators. It is an important tool, having ability to reflect the strategy of a Decision Maker in decision making problems. The idea of using a stress function to generate the OWA weights was introduced in this study. We introduce a new fuzzy c-regression models (FCRM) based approach to obtain stress function for generalization of OWA weights. This generalization was realized by using FCRM as learning method to a stress function which is related the known OWA weights.
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.
