首页> 外文会议>IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th >Estimation in DEA by possibility regression with the upper and lower approximations
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Estimation in DEA by possibility regression with the upper and lower approximations

机译:通过上下近似的可能性回归进行DEA估计

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The exponential possibility regression is applied to estimate interval efficiency values. The interval efficiency value is obtained by interval DEA. It shows the possible efficiency and its upper and lower limits are obtained from the optimistic and pessimistic viewpoints for an object to be analyzed. The interval efficiency value for the object is calculated relatively by using all given inputs and outputs without assuming an identical single model for all DMUs. We analyze the interval efficiency values by regression analysis so that the identical model can be obtained. The obtained linear model in regression analysis can represent the relation between the given inputs and outputs and the obtained interval efficiency values in interval DEA. When new objects are added, we can estimate their interval efficiency values using the models obtained by regression analysis.
机译:指数可能性回归应用于估计区间效率值。间隔效率值是通过间隔DEA获得的。它显示了可能的效率,并且从乐观和悲观的角度获得了待分析对象的上限和下限。通过使用所有给定的输入和输出来相对地计算对象的间隔效率值,而无需为所有DMU假设使用相同的单个模型。我们通过回归分析来分析区间效率值,从而可以获得相同的模型。回归分析中获得的线性模型可以表示给定的输入和输出与间隔DEA中的间隔效率值之间的关系。当添加新对象时,我们可以使用通过回归分析获得的模型来估计其间隔效率值。

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