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