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2-Dimension Linguistic Bonferroni Mean Aggregation Operators and Their Application to Multiple Attribute Group Decision Making

Jianbin Zhao, Hua Zhu
2019 International Journal of Computational Intelligence Systems  

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Keywords MAGDM Bonferroni mean operator 2-dimension linguistic weight Bonferroni mean aggregation operator 2-dimension linguistic variable 2-dimension linguistic lattice implication algebra A B S T R A C T The aim of this paper is to provide a multiple attribute group decision making (MAGDM) method based on the 2-dimension linguistic weight Bonferroni mean aggregation (2DLWBMA) operator. Firstly, the new operations of 2-dimension linguistic variables are defined. Then, the 2-dimension
more » ... Bonferroni mean aggregation operator is proposed to describe the correlations of input arguments. Subsequently, the 2DLWBMA operator is investigated to consider the importance of attributes. Furthermore, a novel MAGDM method is introduced and two illustrative examples are given.
doi:10.2991/ijcis.d.191125.001 fatcat:dzjyueklyzgunlacccegcz7b3m
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Jianbin Zhao, Hua Zhu. "2-Dimension Linguistic Bonferroni Mean Aggregation Operators and Their Application to Multiple Attribute Group Decision Making." International Journal of Computational Intelligence Systems 12.2 (2019)