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Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 71))

Abstract

In many real world applications involving performance measurement, it is necessary to deal with qualitative data factors. This chapter discusses the modeling of such factors within the DEA structure.

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References

  1. Ali, A.I. and L. Seiford, 1993, Computational accuracy and infinitesimals in data envelopment analysis. Working paper, University of Massachusetts at Amherst, MA.

    Google Scholar 

  2. Banker, R.D., A. Charnes and W.W. Cooper, 1984, Some models for technical and scale efficiencies in Data Envelopment Analysis, Management Science, 30, 1078–1092.

    Google Scholar 

  3. Cook, W.D., J. Doyle, R. Green and M. Kress, (1997), European Journal of Operational Research, 93(3), 602–609.

    Google Scholar 

  4. Cook, W.D., M. Hababou, 2001, Sales performance measurement in bank branches, OMEGA — International Journal in Management Science, 29, 299–307.

    Google Scholar 

  5. Cook, W.D., M. Hababou and H. Tuenter, 2000, Multicomponent efficiency measurement and shared inputs in Data Envelopment Analysis: An application to sales and service performance in bank branches, Journal of Productivity Analysis, 14(3), 2000.

    Article  Google Scholar 

  6. Cook, W.D., and K. Hebner, 1993, A multicriteria approach to country risk evaluation: With an example employing Japanese data, International Review of Economics and Finance, 2(4), 327–348.

    Google Scholar 

  7. Cook, W.D., and K. Hebner, 1993, A multicriteria approach to mutual fund selection, Financial Services Review, 2(1), 1–20.

    Article  Google Scholar 

  8. Cook, W.D., D. A. Johnston and D. McCutcheon, 1992, Implementation of robotics: Identifying efficient implementers, OMEGA-International Journal in Management Science.

    Google Scholar 

  9. Cook, W.D., and D. A. Johnston, 1992, Evaluating suppliers of complex systems: A multiple criteria approach, Journal of the Operational Research Society, 43(11), 1055–1061.

    Google Scholar 

  10. Cook, W.D., and M. Kress, 1990, A Data Envelopment model for aggregating preference rankings, Management Science 36(11), 1302–1310.

    Article  Google Scholar 

  11. Cook, W.D., and M. Kress, 1991, A multiple criteria decision model with ordinal preference data, European Journal of Operational Research, 54(2), 191–198.

    Article  Google Scholar 

  12. Cook, W.D., and M. Kress, 1994, A multiple criteria composite index model for quantitative and qualitative data, European Journal of Operational Research, 78(3), 367–379.

    Article  MathSciNet  Google Scholar 

  13. Cook, W.D., M. Kress and L. Seiford, 1993, On the use of ordinal data in Data Envelopment Analysis, Journal of the Operational Research Society, 44(2), 133–140.

    Google Scholar 

  14. Cook, W.D., M. Kress and L. Seiford, 1996, Data Envelopment Analysis in the presence of both quantitative and qualitative factors, Journal of the Operational Research Society, 47, 945–953.

    Google Scholar 

  15. Cooper, W.W., K.S. Park and G. Yu, 1999, IDEA and AR-IDEA: Models for dealing with imprecise data in DEA, Management Science, 45(4), 597–607.

    Google Scholar 

  16. Cooper, W.W., K.S. Park and G. Yu, 2001, IDEA (Imprecise Data Envelopment Analysis) with CMDs (column maximum decision making units), Journal of the Operational Research Society 52, 176–181.

    Google Scholar 

  17. Kim, S.H., C.G. Park and K.S. Park, 1999, An application of Data Envelopment Analysis in telephone offices evaluation with partial data, Computers & Operations Research 26, 59–72.

    Google Scholar 

  18. Thrall, R.M, 1996, Duality, classification and slacks in DEA, Annals of Operations Research 66, 109–138.

    MATH  MathSciNet  Google Scholar 

  19. Zhu, J. 2003, Imprecise Data Envelopment Analysis (IDEA): A review and improvement with an application, European Journal of Operational Research, 144, 513–529.

    Article  MATH  MathSciNet  Google Scholar 

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© 2004 Kluwer Academic Publishers

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Cook, W.D. (2004). Qualitative Data in Dea. In: Cooper, W.W., Seiford, L.M., Zhu, J. (eds) Handbook on Data Envelopment Analysis. International Series in Operations Research & Management Science, vol 71. Springer, Boston, MA. https://doi.org/10.1007/1-4020-7798-X_6

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  • DOI: https://doi.org/10.1007/1-4020-7798-X_6

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4020-7797-5

  • Online ISBN: 978-1-4020-7798-2

  • eBook Packages: Springer Book Archive

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