Results 21 to 30 of about 4,336,599 (261)
Multiattribute Group Decision Making Methods Based on Linguistic Intuitionistic Fuzzy Power Bonferroni Mean Operators [PDF]
Complexity, 2017 This paper focuses on the multiattribute group decision making problems with linguistic intuitionistic fuzzy information. Firstly the concept of linguistic intuitionistic fuzzy numbers (LIFNs) is introduced, and then based on the LIFNs, some new ...
Peide Liu, Xi Liu
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Covariances with OWA operators and Bonferroni means [PDF]
Soft Computing, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fabio Blanco-Mesa +2 more
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Algorithms, 2018 In this paper, we investigate multiple-attribute decision-making (MADM) with Pythagorean 2-tuple linguistic numbers (P2TLNs). Then, we combine the weighted Bonferroni mean (WBM) operator and weighted geometric Bonferroni mean (WGBM) operator with P2TLNs ...
Xiyue Tang, Yuhan Huang, Guiwu Wei
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Models for MADM With 2-Tuple Linguistic Neutrosophic Dombi Bonferroni Mean Operators [PDF]
IEEE Access, 2019 The Dombi t-norm and Dombi t-conorm operations, which have the advantages of describing decision making information flexibly by using the general parameter, can be valid to deal with actual multiple attribute decision making (MADM) problems. Motivated by
Guiwu Wei +4 more
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Energies, 2022 To find the correspondence between every number of attributes, the Bonferroni mean (BM) operator is most widely used and proven to be a flexible approach.
Maria Akram +2 more
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Algorithms, 2018 In this article, we expand the dual generalized weighted BM (DGWBM) and dual generalized weighted geometric Bonferroni mean (DGWGBM) operator with single valued neutrosophic numbers (SVNNs) to propose the dual generalized single-valued neutrosophic ...
Jie Wang, Xiyue Tang, Guiwu Wei
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Complexity, 2018 The partitioned Bonferroni mean (PBM) operator can efficiently aggregate inputs, which are divided into parts based on their interrelationships. To date, it has not been used to aggregate linguistic Pythagorean fuzzy numbers (LPFNs).
Mingwei Lin +3 more
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Dual Generalized Nonnegative Normal Neutrosophic Bonferroni Mean Operators and Their Application in Multiple Attribute Decision Making [PDF]
Information, 2018 For multiple attribute decision making, ranking and information aggregation problems are increasingly receiving attention. In a normal neutrosophic number, the ranking method does not satisfy the ranking principle. Moreover, the proposed operators do not
Jiongmei Mo, Han-Liang Huang
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Bonferroni Prioritized Aggregation Operators Applied to Government Transparency [PDF]
Mathematics, 2020 This article applies the Bonferroni prioritized induced heavy ordered weighted average (OWA) to analyze a series of data and focuses on the Bonferroni average and heavy induced prioritized aggregation operators.
Luis A. Perez-Arellano +3 more
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On Generalized Intuitionistic Fuzzy Interaction Partitioned Bonferroni Mean Operators
2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2019 Intuitionistic fuzzy set theory has become a powerful tool to describe uncertain or vague information. Bonferroni mean (BM) operator captures the interrelationship among aggregated arguments during the aggregation process. Recently, the partitioned Bonferroni mean (PBM) operator has been proposed with the assumption that the interrelationships do not ...
Rajkumar Verma, José M. Merigó
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