A review of data envelopment analysis models for handling data variations
Conventional data envelopment analysis (DEA) models require that the inputs and outputs to be measured deterministically. However, in real world applications, the measurements are subjected to random noise and errors. Ignoring the randomness in the measurement would render an evaluation using DEA un...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Published: |
2011
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| Online Access: | http://eprints.utm.my/id/eprint/45509/ http://dx.doi.org/10.1109/IEEM.2011.6117897 |
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