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A variant of radial measure capable of dealing with negative inputs and outputs in data envelopment analysis

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  • Cheng, Gang
  • Zervopoulos, Panagiotis
  • Qian, Zhenhua

Abstract

Data envelopment analysis (DEA) is a linear programming methodology to evaluate the relative technical efficiency for each member of a set of peer decision making units (DMUs) with multiple inputs and multiple outputs. It has been widely used to measure performance in many areas. A weakness of the traditional DEA model is that it cannot deal with negative input or output values. There have been many studies exploring this issue, and various approaches have been proposed.

Suggested Citation

  • Cheng, Gang & Zervopoulos, Panagiotis & Qian, Zhenhua, 2013. "A variant of radial measure capable of dealing with negative inputs and outputs in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 225(1), pages 100-105.
    • Handle: RePEc:eee:ejores:v:225:y:2013:i:1:p:100-105
    DOI: 10.1016/j.ejor.2012.09.031
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    More about this item

    Keywords

    Data envelopment analysis; Negative data; Variant of radial measure; Unit invariance;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models

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