Abstract
Although DEA does not need a priori information on the underlying functional forms and weights among various input and output measures, it assumes proportional improvements of inputs or outputs. This assumption becomes invalid when a preference structure over the improvement of different inputs (outputs) is present in evaluating (inefficient) DMUs (see Chapter 4). We need models where a particular set of performance measures is given pre-emptive priority to improve.
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© 2003 Springer Science+Business Media New York
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Zhu, J. (2003). Measure-specific DEA Models. In: Quantitative Models for Performance Evaluation and Benchmarking. International Series in Operations Research & Management Science, vol 51. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-4246-6_2
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DOI: https://doi.org/10.1007/978-1-4757-4246-6_2
Publisher Name: Springer, Boston, MA
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