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DEA-DA模型的灵敏度分析
引用本文:杨印生,谢鹏扬.DEA-DA模型的灵敏度分析[J].吉林大学学报(工学版),2004,34(2):174-179.
作者姓名:杨印生  谢鹏扬
作者单位:吉林大学,生物与农业工程学院,吉林,长春,130022;吉林大学,生物与农业工程学院,吉林,长春,130022
基金项目:国家自然科学基金资助项目(70171018).
摘    要:通过对线性规划可行解的分析,讨论了在线性假设下,改变决策单元数据时DEA DA模型的灵敏度分析问题。利用约束条件方程组基础解向量的性质得出了使数据变化前后的判别分类结果保持不变的条件:数据扰动行向量必须满足所有以约束条件方程组的基础解向量为系数的线性方程组。并且给出了判别函数的一些性质。

关 键 词:DEA-DA模型  样本数据  判别函数  线性规划最优解
文章编号:1671-5497(2004)02-0174-06
收稿时间:2003-10-13
修稿时间:2003年10月13

Sensitivity analysis on DEA-DA model
YANG Yin-sheng,XIE Peng-yang.Sensitivity analysis on DEA-DA model[J].Journal of Jilin University:Eng and Technol Ed,2004,34(2):174-179.
Authors:YANG Yin-sheng  XIE Peng-yang
Affiliation:College of Biological and Agricultural Engineering, Jilin University,Changchun 130022, China
Abstract:Through the analysis of the feasible solution of the linear programming,the sensitivity analysis of DEA-DA on linear assumption in the errors of sampled observations was discussed. Using the properties of base solution vectors of the linear restriction equations, a condition to maintain the same discriminant result between the sampled observations of changed and unchanged was obtained: the disturbed row vector of sampled observations was satisfied all linear equations whose coefficients were the base solution vectors of linear restriction equations. And some properties of discriminant functions were given.
Keywords:DEA-DA model  sampled observation  discriminant function  the optimal solution of the linear programming
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