含有L-R模糊数的DEA-DA模型灵敏度分析

含有L-R模糊数的DEA-DA模型灵敏度分析

陶跃¹, 苗广英², 敖蓉蓉¹, 杨印生³

1. 长春理工大学计算机科学与技术学院, 长春 130022； 2. 吉林大学通信工程学院, 长春 130022；3. 吉林大学生物与农业工程学院, 长春 130022

收稿日期:2007-08-28 修回日期:1900-01-01 出版日期:2008-03-26 发布日期:2008-03-26
通讯作者: 杨印生

Sensitivity Analysis on DEA-DA Model with L-R Fuzzy Numbers

TAO Yue¹, MIAO Guangying², AO Rongrong¹, YANG Yinsheng³

1. College of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China; 2. College of Communication Engineering, Jilin University, Changchun 130022, China; 3. School of Biological & Agricultural Engineering, Jilin University, Changchun 130022, China

Received:2007-08-28 Revised:1900-01-01 Online:2008-03-26 Published:2008-03-26
Contact: YANG Yinsheng

摘要/Abstract

摘要： 针对含有L-R模糊数的DEADA模型（FDEA-DA模型）,按照DEA-DA的两阶段方法, 讨论了模型的灵敏度, 提出了在决策单元增加时, FDEA-DA模型的判别结果保持不变的充分条件；以及增加决策单元前后, 分类结果不变、且最优解一致时, 所增加的单元将会满足的条件.

关键词: L-R模糊数, DEA-DA模型, 灵敏度分析, 判别函数, 最优解

Abstract: The sensitivity analysis on the DEADA model with L-R fuzzy numbers (FDEADA model) was discussedaccording to the twostage procedure of DEADA. We presented the sufficient conditions for thediscriminant result of FDEA-DA model being invariable on new decision making units increasing. We also deducedthe conditions that the increased dec ision making units will satisfy for the discriminant result keeping invariable and the optimal solution being consistent before and after increasing decision making units.

Key words: L-R fuzzy number, DEA-DA model, sensitivity analysis, discriminant function, the optimal solution

中图分类号:

O235

陶跃, 苗广英, 敖蓉蓉, 杨印生. 含有L-R模糊数的DEA-DA模型灵敏度分析[J]. J4, 2008, 46(02): 197-204.

TAO Yue, MIAO Guangying, AO Rongrong, YANG Yinsheng. Sensitivity Analysis on DEA-DA Model with L-R Fuzzy Numbers[J]. J4, 2008, 46(02): 197-204.

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