Picture fuzzy soft Bonferroni mean aggregation operators and their applications [PDF]
Heliyon, 2023 Due to more advanced features of the picture fuzzy soft set and valuable characteristics of aggregation operators, in this article, we present the notion of picture fuzzy soft Bonferroni mean aggregation operators and weighted picture fuzzy soft ...
Xiaopeng Yang +2 more
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Schur convexity of the generalized geometric Bonferroni mean and the relevant inequalities [PDF]
Journal of Inequalities and Applications, 2018 In this paper, we discuss the Schur convexity, Schur geometric convexity and Schur harmonic convexity of the generalized geometric Bonferroni mean. Some inequalities related to the generalized geometric Bonferroni mean are established to illustrate the ...
Huan-Nan Shi, Shan-He Wu
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A Similarity Classifier with Bonferroni Mean Operators [PDF]
Advances in Fuzzy Systems, 2016 A similarity classifier based on Bonferroni mean based operators is introduced. The new Bonferroni mean based variant of the similarity classifier is also extended to cover a new Bonferroni-OWA variant.
Onesfole Kurama +2 more
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Intuitionistic Linguistic Weighted Bonferroni Mean Operator and Its Application to Multiple Attribute Decision Making [PDF]
The Scientific World Journal, 2014 The intuitionistic linguistic variables are easier to describe the fuzzy information which widely exists in the real world, and Bonferroni mean can capture the interrelationship of the individual arguments.
Peide Liu +3 more
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Uncertain Bonferroni Mean Operators [PDF]
International Journal of Computational Intelligence Systems, 2010 The Bonferroni mean is a traditional mean type aggregation operator bounded by the max and min operators, which is suitable to aggregate the crisp data. In this paper, we consider situations where the input data are interval numbers.
Zeshui Xu
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Linguistic Z-Number Bonferroni Mean and Linguistic Z-Number Geometric Bonferroni Mean Operators: Their Applications in Portfolio Selection Problems [PDF]
IEEE Access, 2020 The optimal combination of assets can be selected by the traditional portfolio theory which uses historical quantitative data to represent the future return of assets.
Amir Hosein Mahmoodi +4 more
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A Comprehensive Analysis of Neutrosophic Bonferroni Mean Operator [PDF]
Neutrosophic Sets and SystemsThe Neutrosophic Bonferroni operator is a novel operator that we provide in this paper. Then the arithmetic operations for Neutrosophic Bonferroni operator is developed which tells the existence of Neutrosophic Bonferroni operator.
A. Kanchana +3 more
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Multi-Attribute Decision-Making Based on Bonferroni Mean Operators under Cubic Intuitionistic Fuzzy Set Environment [PDF]
Entropy, 2018 Cubic intuitionistic fuzzy (CIF) set is the hybrid set which can contain much more information to express an interval-valued intuitionistic fuzzy set and an intuitionistic fuzzy set simultaneously for handling the uncertainties in the data. Unfortunately,
Gagandeep Kaur, Harish Garg
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TOPSIS Method Based on Complex Spherical Fuzzy Sets with Bonferroni Mean Operators
Mathematics, 2020 The theory of complex spherical fuzzy sets (CSFSs) is a mixture of two theories, i.e., complex fuzzy sets (CFSs) and spherical fuzzy sets (SFSs), to cope with uncertain and unreliable information in realistic decision-making situations.
Zeeshan Ali +2 more
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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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