Abstract

The aggregation of fuzzy opinions is an important component of group decision analysis with fuzzy information. In this paper, a minimax disparity method for the assessment of the weights to be associated with fuzzy opinions is proposed. The proposed approach generates the weights by minimizing the maximum the difference of any two adjacent individual weighted fuzzy opinions and the difference of individual weighted fuzzy opinion and the weighted mean value, which is called the possibilistic mean value minimax difference method (MVMDM). Three numerical examples are provided to illustrate the application of the proposed approach in aggregating fuzzy opinions in a simple and effective way.

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.