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Modelling, Computation and Optimization in Information Systems and Management Sciences pp 15–21Cite as

DEA for Heterogeneous Samples

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 360))

Abstract

Data Envelopment Analysis is not very well applicable when a sample consists of firms operating under drastically different conditions. We offer a new method of efficiency estimation on heterogeneous samples based on a sequential exclusion of alternatives and standard DEA approach. We show a connection between efficiency scores obtained via standard DEA model and the ones obtained via our algorithm. We also illustrate our model by evaluating 28 Russian universities and compare the results obtained by two techniques.

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References

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Author information

Authors and Affiliations

  1. International Laboratory on Decision Choice and Analysis, National Research University Higher School of Economics, Myasnitskaya 20, 101000, Moscow, Russia

    Fuad Aleskerov & Vsevolod Petrushchenko

Authors
  1. Fuad Aleskerov
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  2. Vsevolod Petrushchenko
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Corresponding author

Correspondence to Fuad Aleskerov .

Editor information

Editors and Affiliations

  1. Laboratory of Theoretical and Applied Computer Science, University of Lorraine, Metz, France

    Hoai An Le Thi

  2. Laboratory of Mathematics, National Institute for Applied Sciences, Rouen, France

    Tao Pham Dinh

  3. Division of Knowledge Management Systems, Wroclaw University of Technology, Poland

    Ngoc Thanh Nguyen

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© 2015 Springer International Publishing Switzerland

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Aleskerov, F., Petrushchenko, V. (2015). DEA for Heterogeneous Samples. In: Le Thi, H., Pham Dinh, T., Nguyen, N. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. Advances in Intelligent Systems and Computing, vol 360. Springer, Cham. https://doi.org/10.1007/978-3-319-18167-7_2

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  • DOI: https://doi.org/10.1007/978-3-319-18167-7_2

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18166-0

  • Online ISBN: 978-3-319-18167-7

  • eBook Packages: EngineeringEngineering (R0)

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