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

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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...

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Bibliographic Details
Published in:	JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Main Authors:	Ma, Xiuqin; Sun, Huanling; Qin, Hongwu; Wang, Yibo; Zheng, Yan
Format:	Article
Language:	English
Published:	IOS PRESS 2024
Subjects:	Computer Science
Online Access:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001193319500080

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