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Common set of weights in data envelopment analysis: a linear programming problem

机译:数据包络分析中的一组常见权重:线性规划问题

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摘要

Data Envelopment Analysis is used to determine the relative efficiency of Decision Making Units as the ratio of weighted sum of outputs by weighted sum of inputs. To accomplish the purpose, a DEA model calculates the weights of inputs and outputs of each DMU individually so that the highest efficiency can be estimated. Thus, the present study suggests an innovative method using a common set of weights leading to solving a linear programming problem. The method determines the efficiency score of all DMUs and rank them too.
机译:数据包络分析用于确定决策单位的相对效率,即输出加权和与输入加权和之比。为了实现此目的,DEA模型分别计算每个DMU的输入和输出的权重,以便可以估计最高效率。因此,本研究提出了一种创新的方法,该方法使用一组常见的权重来解决线性规划问题。该方法确定所有DMU的效率得分并对其进行排名。

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