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The multi-attribute group decision making method based on the interval grey linguistic variables

机译:基于区间灰色语言变量的多属性群决策方法

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The extended TOPSIS method is proposed to solve multi-attribute group decision-making problems which the attribute values take the form of interval grey linguistic variables and attribute weight is unknown. To begin with, the relative concepts of interval grey linguistic variables are defined; the operation rules, the properties, and the distance between the two interval grey linguistic variables are established. Then the evaluation information of each expert is aggregated into the group information by the arithmetic weighted average method, and the mathematical model is constructed to solve the attribute weight based on the rules of the maximum deviation. Furthermore, the ranking order of alternatives is determined by TOPSIS method. Finally, the practical example is given to show the decision-making steps and the effectiveness of this method.
机译:提出了扩展的TOPSIS方法来解决属性值采用区间灰色语言变量形式且属性权重未知的多属性群决策问题。首先,定义了间隔灰色语言变量的相关概念。建立了操作规则,属性以及两个间隔灰色语言变量之间的距离。然后,通过算术加权平均法将每个专家的评估信息汇总到组信息中,并基于最大偏差规则构造数学模型来求解属性权重。此外,备选方案的排名顺序由TOPSIS方法确定。最后通过实例说明该方法的决策步骤和有效性。

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