History , Models and Interpretations

@inproceedings{Cooper2003HistoryM,
  title={History , Models and Interpretations},
  author={William W. Cooper and Lawrence M. Seiford and Joe Zhu},
  year={2003}
}
In a relatively short period of time Data Envelopment Analysis (DEA) has grown into a powerful quantitative, analytical tool for measuring and evaluating performance. DEA has been successfully applied to a host of different types of entities engaged in a wide variety of activities in many contexts worldwide. This chapter discusses the fundamental DEA models and some of their extensions. 
59 Citations
37 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 59 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 37 references

The measurement of productive efficiency

  • M. J. Farrell
  • Journal of Royal Statistical Society A
  • 1957
Highly Influential
5 Excerpts

A Reexamination of Cost Efficiency and Cost Elasticity in DEA,

  • K. Tone, B. K. Sahoo
  • Management Science (forthcoming)
  • 2003
Highly Influential
1 Excerpt

Foundations of Data Envelopment Analysis for Pareto-Koopmans Efficient Empirical Production Functions,

  • A. Charnes, W. W. Cooper, B. Golany, L. Seiford, J. Stutz
  • Journal of Econometrics
  • 1985
Highly Influential
3 Excerpts

Programming with linear fractional functionals

  • A. Charnes, W. W. Cooper
  • Naval Research Logistics Quarterly
  • 1962
Highly Influential
2 Excerpts

Analysis of Production as an efficient combination of Activities, in T.C

  • T. C. Koopmans
  • 1951
Highly Influential
3 Excerpts

A Bibliography of Data Envelopment Analysis (1978-2001),

  • G. Tavares
  • Socio-Economic Planning Sciences(to appear)
  • 2003
1 Excerpt

A Comparative Site Evaluation Study for Relocating Japanese Government Agencies Out of Tokyo,

  • T. Takamura, K. Tone
  • Socio-Economic Planning Sciences
  • 2003
1 Excerpt

A one-model approach to congestion in data envelopment analysis, Socio-Economic

  • W. W. Cooper, H. Deng, Z. M. Huang, S. X. Li
  • Planning Sciences
  • 2002

Similar Papers

Loading similar papers…