主管：中国科学院
主办：中国优选法统筹法与经济数学研究会
　　　中国科学院科技战略咨询研究院
中国管理科学

中国管理科学 ›› 2008, Vol. 16 ›› Issue (5): 153-156.

• 论文 • 上一篇    下一篇

两种改进的超效DEA模型

李宇红1, 赵二帅2, 关忠诚2   

  1. 1. 北京财贸职业学院, 北京101101;
    2. 中国科学院科技政策与管理科学研究所, 北京100080
  • 收稿日期:2007-12-05 修回日期:2008-09-19 出版日期:2008-10-31 发布日期:2008-10-31
  • 作者简介:李宇红(1964- ),女(汉族),北京人.北京财贸职业学院,副教授,研究方向:管理科学、计算机应用.

Two Improved Super-Efficient DEA Models

LI Yu-hong1, ZHAO Er-shuai2, GUAN Zhong-cheng2   

  1. 1. Beijing Vocational College Of Finance and Commerce, Beijing 101101, China;
    2. Institute of Policy & Management, Chinese Academy of Sciences, Beijing 100080, China
  • Received:2007-12-05 Revised:2008-09-19 Online:2008-10-31 Published:2008-10-31

PDF (PC)

1813

被引次数

3

摘要： 对DEA有效决策单元不能排序是传统DEA模型的一大缺点。该问题也成为DEA领域研究的热点。AP模型是最常用的区分DEA有效决策单元效率值大小的超效模型,但在实际应用中却出现了无解或解不稳定的情况。国外学者新近提出的MAJ模型、LJK模型则有效解决了这两个问题,但却存在模型区分能力不强的缺点。本文分析了这两种模型缺点产生的原因、予以改进并给出理论证明。标准数据集的实验显示改进效果显著,尤其是改进后的LJK模型表现优异。

关键词: 超效模型, MAJ模型, LJK模型, 改进

Abstract: The traditional Data Envelopment.A nalysis(DEA) models are unable to discriminate between ef ficient DM Us. This issue has become the interest of many DEA researchers. AP model is a popular super-efficient model for ranking efficient DMUs, but it has infeasibility and instability problems. MAJ model and LJK model recently proposed can overcome these deficiencies but their ability to distinguish efficient DMUs is not strong. This paper analyzes the reason of these twomodels' shortcomings, then improves them and provides theoretical proofs.Through two standard numerical examples, we find the improved models perform better than old ones, especially the improved LJK model.

Key words: supper-efficient model, MAJ model, LJK model, improvement

中图分类号: