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Interval and Ordinal Data in DEA

In: Quantitative Models for Performance Evaluation and Benchmarking

Author

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  • Joe Zhu

    (Worcester Polytechnic Institute)

Abstract

So far, all previous chapters have assumed that data in DEA are known exactly. In the DEA literature, there are models for dealing with rank Rank data and interval data. For example, some outputs and inputs may be only known as in forms of bounded or interval data, ordinal data, and ratio bounded data. Cook et al. (Journal of Operational Research Society, 44, 133–140, 1993; Journal of Operational Research Society, 47, 945–953, 1996) were the first who developed a modified DEA structure where the inputs and outputs are represented as rank positions in an ordinal, rather than numerical sense.

Suggested Citation

  • Joe Zhu, 2014. "Interval and Ordinal Data in DEA," International Series in Operations Research & Management Science, in: Quantitative Models for Performance Evaluation and Benchmarking, edition 3, chapter 18, pages 383-398, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-06647-9_18
    DOI: 10.1007/978-3-319-06647-9_18
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