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Some Generalized Dual Hesistant Fuzzy Geometric Aggregation Operators and Applications

机译:一些广义对偶模糊几何融合算子及其应用

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摘要

Information aggregation has been investigated and applied to many fields. This paper focuses on geometric aggregation operators under dual hesitant fuzzy environment. We develop some new geometric aggregation operators, such as the generalized dual hesitant fuzzy weighted geometric (GDHFWG) operator, the generalized dual hesitant fuzzy ordered weighted geometric (GDHFOWG) operator and the generalized dual hesitant fuzzy hybrid geometric (GDHFHG) operator. Some numerical examples are given to illustrate the developed operators. Finally, we give an application of our proposed operators to multi-criteria decision making with dual hesitant fuzzy information, a real decision making problem about human resource generalist selection is forwarded to show the effectiveness of our proposed method.
机译:信息聚合已被研究并应用于许多领域。本文重点研究双重犹豫模糊环境下的几何聚合算子。我们开发了一些新的几何聚合算子,例如广义双犹豫模糊加权几何(GDHFWG)算子,广义双犹豫模糊有序加权几何(GDHFOWG)算子和广义双犹豫模糊混合几何(GDHFHG)算子。给出了一些数值示例来说明发达的算子。最后,我们将拟议的算子应用于带有双重犹豫模糊信息的多准则决策中,提出了有关人力资源专家选择的实际决策问题,以证明所提出方法的有效性。

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