A variant of radial measure capable of dealing with negative inputs and outputs in data envelopment analysis
AbstractData 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.
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Bibliographic InfoArticle provided by Elsevier in its journal European Journal of Operational Research.
Volume (Year): 225 (2013)
Issue (Month): 1 ()
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Web page: http://www.elsevier.com/locate/eor
Data envelopment analysis; Negative data; Variant of radial measure; Unit invariance;
Other versions of this item:
- Cheng, Gang & Zervopoulos, Panagiotis & Qian, Zhenhua, 2011. "A variant of radial measure capable of dealing with negative inputs and outputs in data envelopment analysis," MPRA Paper 30951, University Library of Munich, Germany.
- 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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