Abstract

In this paper we present a multi-indices based method that can be used to compare and rank fuzzy numbers in decision making under uncertainty. The concepts of Euclidean distance and fuzzy maximum are effectively combined for determining each fuzzy number's performance index value in the process of fuzzy number comparison and ranking. To address the concern of this ranking index, two additional indices are introduced. As a result, all the information available in existing fuzzy numbers has been considered, and satisfactory ranking outcomes can be obtained. We further present representative examples in the fuzzy number ranking literature in order to illustrate the proposed method's applicability for effective fuzzy number comparison and ranking in fuzzy decision making.

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.