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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Intuitionistic Fuzzy Normalized Weighted Bonferroni Mean and Its Application in Multicriteria Decision Making [PDF]
Journal of Applied Mathematics, 2012 The Bonferroni mean (BM) was introduced by Bonferroni six decades ago but has been a hot research topic recently since its usefulness of the aggregation techniques. The desirable characteristic of the BM is its capability to capture the interrelationship
Wei Zhou, Jian-min He
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IEEE Access, 2023 Internet is almost a necessary facility and tool to solve daily life problems in every field life. Whether at the individual level or national and international level sale purchase of any kind of object has always been of much importance, especially ...
Tahir Mahmood +2 more
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Some T-Spherical Hesitant Fuzzy Shapley Bonferroni Mean Operators and Their Applications
IEEE AccessIn this paper, some T-spherical hesitant fuzzy Bonferroni mean aggregation operators have been developed by extending the Bonferroni mean to the T-spherical hesitant fuzzy environment. The attribute weights are calculated by using the Shapley function to
Yongfeng Pang, Wei Yang
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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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On generalized Bonferroni mean operators for multi-criteria aggregation [PDF]
International Journal of Approximate Reasoning, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yager, Ronald R.
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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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Multi-Valued Multi-Polar Neutrosophic Sets with an application in Multi-Criteria Decision-Making [PDF]
Neutrosophic Sets and Systems, 2023 This research directs to obtain optimum fuzzy soft constants through Bonferroni mean and TOPSIS with the initial data represented in terms of multi-valued m-polar neutrosophic soft set. Multi-valued m-polar neutrosophic soft set is defined in this paper,
Asma Mahmood +2 more
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Enhancing decision accuracy in dematel using bonferroni mean aggregation under pythagorean neutrosophic environment [PDF]
Journal of Fuzzy Extension and Applications, 2023 DEMATEL serves as a tool for addressing multi-criteria decision-making problems, primarily by identifying critical factors that exert the most significant influence on a specific system.
Jamiatun Ismail +6 more
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A Bonferroni Mean Based Fuzzy K Nearest Centroid Neighbor Classifier
Jurnal Ilmu Komputer dan Informasi, 2021 K-nearest neighbor (KNN) is an effective nonparametric classifier that determines the neighbors of a point based only on distance proximity. The classification performance of KNN is disadvantaged by the presence of outliers in small sample size datasets ...
Arya Widyadhana +3 more
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