Computing multiperiod efficiency using dominance networks
Author:
Funder
European Regional Development Fund
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
https://link.springer.com/content/pdf/10.1007/s10479-021-04421-5.pdf
Reference29 articles.
1. Calzada-Infante, L., & Lozano, S. (2016). Analyzing Olympic games through dominance networks. Physica a Statistical Mechanics and Its Applications, 462, 1215–1230.
2. Calzada-Infante, L., & Lozano, S. (2020). Some variants and extensions of dominance network analysis. Computers & Industrial Engineering, 141, 106275.
3. Castelli, L., Pesenti, R., & Ukovich, W. (2010). A classification of DEA models when the internal structure of the decision making units is considered. Annals of Operations Research, 173, 207–235.
4. Chung, Y. H., Färe, R., & Grosskopf, S. (1997). Productivity and undesirable outputs: a directional distance function approach. Journal of Environmental Management, 51, 229–240.
5. Cooper, W. W., Pastor, J. T., Aparicio, J., & Borras, F. (2011). Decomposing profit inefficiency in DEA through the weighted additive model. European Journal of Operational Research, 212(2), 411–416.
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