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有关DEA模型$(C^2GS^2)$的最优值的定理及其在预测方法简化中的应用
引用本文:吴文江.有关DEA模型$(C^2GS^2)$的最优值的定理及其在预测方法简化中的应用[J].系统工程理论与实践,1999,19(9):105-108.
作者姓名:吴文江
作者单位:武汉工业大学北京研究生部
摘    要:文献[1]中在将初始点选在生产可能集内的基础上用弱DEA 有效性$(C^2GS^2)$进行预测,但有时难于在生产可能集内选取初始点,因此本文在给出一些有关DEA 模型$(C^2GS^2)$的最优值的定理的基础上设法省略该步骤.对任给的有正输入与正输出的初始点,不必检验它是否在生产可能集内,只要DEA 模型的最优值存在且为正,就可用弱DEA 有效性$(C^2GS^2)$ 进行预测

关 键 词:数据包络分析(DEA)  有效性  预测    

Theorems on Optimal Value of DEA Model (C\ 2GS\ 2) and Its Application in Simplification on Forecasting Method
WU Wen\|jiang.Theorems on Optimal Value of DEA Model (C\ 2GS\ 2) and Its Application in Simplification on Forecasting Method[J].Systems Engineering —Theory & Practice,1999,19(9):105-108.
Authors:WU Wen\|jiang
Institution:Beijing Graduate School of Wuhan University of Technology
Abstract:Forecast with weak DEA efficiency was made in reference \ by choosing initial point in the production possibility set. But it is difficult sometimes to choose the initial point in the production possibility set, so this paper is trying to omit it after presenting some theorems on optimal value of DEA model (C\ 2GS\ 2). For any given initial point with positive inputs and positive outputs. we don't have to check up if it is in the production possibility set, the forecast with weak DEA efficiency is made as long as the optimal value of the DEA model exists and is positive.
Keywords:data envelopment analysis (DEA)  efficiency  forecast
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