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A fast algorithm for determining some characteristics in DEA

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  • M Soleimani-damaneh

    (University of Tehran)

Abstract

This paper provides a fast computational algorithm for carrying out the performance analysis DEA technique, which reduces the computational requirements. The provided tests reduce the computational complexity when using the DEA technique to specify the efficiency position, the rank, and the returns-to-scale classification of DMUs under assessment.

Suggested Citation

  • M Soleimani-damaneh, 2009. "A fast algorithm for determining some characteristics in DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(11), pages 1528-1534, November.
    • Handle: RePEc:pal:jorsoc:v:60:y:2009:i:11:d:10.1057_jors.2009.72
    DOI: 10.1057/jors.2009.72
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    References listed on IDEAS

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    1. Kerstens, Kristiaan & Vanden Eeckaut, Philippe, 1999. "Estimating returns to scale using non-parametric deterministic technologies: A new method based on goodness-of-fit," European Journal of Operational Research, Elsevier, vol. 113(1), pages 206-214, February.
    2. Banker, Rajiv D. & Thrall, R. M., 1992. "Estimation of returns to scale using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 62(1), pages 74-84, October.
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    9. Jahanshahloo, G.R. & Soleimani-damaneh, M. & Mostafaee, A., 2008. "A simplified version of the DEA cost efficiency model," European Journal of Operational Research, Elsevier, vol. 184(2), pages 814-815, January.
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