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Research on supplier selection model based on an improved TOPSIS

机译:基于改进Topsis的供应商选择模型研究

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The traditional TOPSIS method to initialize the initial decision matrix are all used the linear transformation methods on [0,1] interval, these methods has the problem of "only award, no punishment". So this paper uses the principle of "reward good and punishment bad", puts forward a kind of "reward good and punishment bad" transform operator which is easy calculation and practical for benefit type, cost type and interval type decision indicators. Then it proposed an improved TOPSIS decision model. Finally this evaluation model is used to make an empirical study on the supplier selection problem, and the result of the empirical study verified the validity and feasibility of this method.
机译:初始化初始决策矩阵的传统TOPSIS方法都使用了在[0,1]间隔上的线性变换方法,这些方法具有“仅奖项,不惩罚”的问题。因此,本文使用“奖励良好和惩罚不良”的原则,提出了一种“奖励良好和惩罚糟糕”变换运营商,便于计算和实用的福利类型,成本类型和间隔类型决策指标。然后提出了一种改进的Topsis决策模型。最后,这种评估模型用于对供应商选择问题进行实证研究,并且实证研究结果验证了这种方法的有效性和可行性。

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