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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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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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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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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Mathematics, 2020 The process of decision-making is subject to various influence factors and environmental uncertainties, which makes decision become a very complex task. As a new type of decision processing tool, the q-rung orthopair fuzzy sets can effectively deal with ...
Ping He, Zaoli Yang, Bowen Hou
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Elliptic intuitionistic fuzzy Bonferroni mean operator and its application in MCDM [PDF]
Notes on IFSThe representation of elliptic intuitionistic fuzzy sets employs an elliptic framework to depict uncertainty across membership and non-membership functions, effectively capturing the inherent vagueness in these degrees.
K. M. Arifmohammed +2 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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Multi-attribute group decision-making based on the Neutrosophic Bonferroni mean operator [PDF]
Neutrosophic Sets and Systems, 2023 In this study, a Neutrosophic technique and arithmetic ranking operations are employed to group decision-making problems with many qualities. The outcome is contrasted with the current approach. When compared to the current method, the proposed method is
A. Kanchana, D. Nagarajan, Said Broumi
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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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Hesitant Fermatean fuzzy Bonferroni mean operators for multi-attribute decision-making
Complex & Intelligent Systems, 2023 Hesitant Fermatean fuzzy sets (HFFS) can characterize the membership degree (MD) and non-membership degree (NMD) of hesitant fuzzy elements in a broader range, which offers superior fuzzy data processing capabilities for addressing complex uncertainty ...
Yibo Wang +4 more
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