Interval and Ordinal Data in DEA

Joe Zhu ()
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Joe Zhu: Worcester Polytechnic Institute

Chapter 18 in Quantitative Models for Performance Evaluation and Benchmarking, 2014, pp 383-398 from Springer

Abstract: 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.

Keywords: Ordinal Data; Interval Data; Imprecise DEA (IDEA); Setting Exact Data; Efficiency Scores (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/978-3-319-06647-9_18

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