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Generalized Scaled Prioritized Intuitionistic Fuzzy Geometric Interaction Aggregation Operators and Their Applications to the Selection of Cold Chain Logistics Enterprises

机译:广义缩放优先考虑的直觉模糊几何交互聚合经营者及其应用于冷链物流企业的选择

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摘要

This article contends that a generalization of scaled prioritized intuitionistic fuzzy interaction averaging operators, and develops the generalized scaled prioritized intuitionistic fuzzy geometric interaction averaging (GSPIFGIA) operator and the generalized scaled prioritized intuitionistic fuzzy weighted geometric interaction averaging (GSPIFWGIA) operator. The properties of the GSPIFGIA and GSPIFWGIA operators are investigated. Then this article proposes the new decision-making methods to the selection of cold chain logistics enterprises under an intuitionistic fuzzy environment based on these generalized information aggregation operators, and the proposed method evaluates the scaled prioritized relationships between criteria by priority labels in known and unknown situations. Finally, a numerical example is illustrated to show the new approach.
机译:本文争辩说明优先考虑的直觉模糊交互平均运算符的概括,并开发了广义的缩放优先级直觉模糊几何相互作用平均(Gspifgia)运算符和广义缩放优先级的直觉模糊加权几何相互作用平均(Gspifwgia)运算符。 调查了GPIFGIA和GSPIFWGIA运营商的性质。 然后,本文提出了基于这些广义信息聚合运营商在直觉模糊环境下选择冷链物流企业的新决策方法,所提出的方法通过已知和未知情况的优先标签评估标准之间的标准之间的缩放优先关系。 。 最后,说明了一个数字示例以显示新方法。

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