Results 11 to 20 of about 3,982,620 (269)
Generalized Fuzzy Bonferroni Harmonic Mean Operators and Their Applications in Group Decision Making [PDF]
Journal of Applied Mathematics, 2013 The Bonferroni mean (BM) operator is an important aggregation technique which reflects the correlations of aggregated arguments. Based on the BM and harmonic mean operators, H. Sun and M. Sun (2012) developed the fuzzy Bonferroni harmonic mean (FBHM) and
Jin Han Park, Eun Jin Park
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Information, 2017 Linguistic neutrosophic numbers (LNN) is presented by Fang and Ye in 2017, which can describe the truth, falsity, and indeterminacy linguistic information independently.
Changxing Fan, Jun Ye, Keli Hu, En Fan
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Mathematics, 2022 To deal with complicated decision problems with T-Spherical fuzzy values in the aggregation process, T-Spherical fuzzy Bonferroni mean operators are developed by extending the Bonferroni mean and Dombi mean to a T-Spherical fuzzy environment.
Wei Yang, Yongfeng Pang
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A Generalization of the Bonferroni Mean based on partitions [PDF]
2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2013 The mean defined by Bonferroni in 1950 (known by the same name) averages all non-identical product pairs of the inputs. Its generalizations to date have been able to capture unique behavior that may be desired in some decision-making contexts such as the ability to model mandatory requirements.
Gleb Beliakov, Simon James, Radko Mesiar
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Generalized Bonferroni mean operators in multi-criteria aggregation [PDF]
Fuzzy Sets and Systems, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gleb Beliakov +4 more
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Schur m-power convexity of generalized geometric Bonferroni mean involving three parameters
Journal of Inequalities and Applications, 2019 In this paper, we study the Schur m-power convexity of the generalized geometric Bonferroni mean involving three parameters. Our result provides a unified generalization to the work that was done recently by Shi and Wu concerning the Schur convexity of ...
Shan-He Wu, Yu-Ming Chu
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Journal of Mathematics, 2023 The purpose of this paper is to introduce interaction partitioned Bonferroni mean operators under dual hesitant q-rung orthopair fuzzy environment. Motivated by the idea of q-rung orthopair fuzzy interaction operational laws, partitioned Bonferroni mean,
Lu Zhang, Yabin Shao, Ning Wang
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Complexity, 2018 The aim of this paper is to develop partitioned Pythagorean fuzzy interaction Bonferroni mean operators based on the Pythagorean fuzzy set, Bonferroni mean, and interaction between membership and nonmembership.
Wei Yang +4 more
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Some Generalized Pythagorean Fuzzy Bonferroni Mean Aggregation Operators with Their Application to Multiattribute Group Decision-Making [PDF]
Complexity, 2017 The Pythagorean fuzzy set as an extension of the intuitionistic fuzzy set characterized by membership and nonmembership degrees has been introduced recently. Accordingly, the square sum of the membership and nonmembership degrees is a maximum of one. The
Runtong Zhang +4 more
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Deciphering the Geometric Bonferroni Mean Operator in Pythagorean Neutrosophic Sets Framework [PDF]
Neutrosophic Sets and SystemsThe Geometric Bonferroni Mean (GBM), is an extension of The Bonferroni mean (BM), that combines both BM and the geometric mean, allowing for the representation of correlations among the combined factors while acknowledging the inherent uncertainty within
Mohammad Shafiq bin Mohammad Kamari +5 more
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