A novel multi-attribute decision making method based on interval-valued fermatean fuzzy bonferroni mean operators

When handling complex uncertainty information for multi-attribute decision-making (MADM) problems, interval-valued Fermatean fuzzy sets (IVFFSs) are a novel and powerful tool with a wide range of prospective applications. However, existing MADM methods based on IVFFS ignore associations between attr...

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Bibliographic Details
Published in:Journal of Intelligent and Fuzzy Systems
Main Author: Ma X.; Sun H.; Qin H.; Wang Y.; Zheng Y.
Format: Article
Language:English
Published: IOS Press BV 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185540062&doi=10.3233%2fJIFS-235495&partnerID=40&md5=9b293a78f8a73be25f30762740614989

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