【24h】

A Theorem on Weak DEA Efficiency (C~2GS~2) and Its Application in Forecast

机译:弱DEA效率(C〜2GS〜2)定理及其在预测中的应用

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

The paper gives a theorem on making a decision making unit (DMU) weakly DEA efficient (C~2GS~2) by changing its inputs only or its outputs only. The theorem is used to forecast a problem with multiple inputs and multiple outputs. To make the process of forecasting with new method more clear, we take some production activities with single input and single output as an example. Suppose that there are production activities (X_j, Y_j) (j=1, ..., n), from which we get a production possibility set. The effective frontier of this set is used for forecasting, i.e., for a given input X_(n+1), if (X_(n+1),Y_(n+1)) lies on the effective frontier, then Y_(n+1) is taken as the predicted value of output, and it is the maximal value in all possible output for the given input X_(n+1) . While for the given X_(n+1), the predicted value of output obtained from the regression analysis on the given production activities is the mean value of all possible outputs.
机译:本文给出了一个定理,即通过仅更改其输入或仅更改其输出来使决策单元(DMU)的DEA效率较低(C〜2GS〜2)。该定理用于预测具有多个输入和多个输出的问题。为了使使用新方法进行预测的过程更加清晰,我们以一些具有单个输入和单个输出的生产活动为例。假设存在生产活动(X_j,Y_j)(j = 1,...,n),从中我们可以得出生产可能性集合。该集合的有效边界用于预测,即对于给定的输入X_(n + 1),如果(X_(n + 1),Y_(n + 1))位于有效边界上,则Y_(n +1)作为输出的预测值,它是给定输入X_(n + 1)在所有可能的输出中的最大值。对于给定的X_(n + 1),通过对给定生产活动的回归分析获得的产出的预测值是所有可能产出的平均值。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号