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, intervalvalued 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 attri...
Published in: | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Published: |
IOS PRESS
2024
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Subjects: | |
Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001193319500080 |