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Latest bibliography of DEA with more than 10,000 articles
Mergoni, A. A. Emrouznejad, and K. De Witte (2025) Fifty years of Data Envelopment Analysis, European Journal of Operational Research, 326 (3): 389-412. https://doi.org/10.1016/j.ejor.2024.12.049.
CLICK HERE to download review of Fifty years of Data Envelopment Analysis
CLICK HERE to download bibliography (1978-2016)
CLICK HERE to download Supplement with list of over 10,000 articles
biblio
- Peng L (2004). “Bias-Corrected Estimators for Monotone and Concave Frontier Functions.” J Statistical Planning and Inference 119(2): 263-275.
- Pedraja-Chaparro F, J Salinas-Jimenez and P Smith (1999). “On the Quality of the Data Envelopment Analysis Model.” JORS 50(6): 636-644.
- Pei-Huang L (2006). “Multiple Criteria Ranking by Fuzzy Data Envelopment Analysis.” WSEAS Transactions on Computers 5(5): 810-816.
- Peijun G, H Tanaka and M Inuiguchi (1999). “An Aggregation Model Via Fuzzy Linear Programming to Rank the Objects with Multiple Attributes.? in Proceedings of IEEE International Fuzzy Systems, IEEE. 2: 1175-1180.
- Peijun G, H Tanaka and M Inuiguchi (2000). “Self-Organizing Fuzzy Aggregation Models to Rank the Objects with Multiple Attributes.” IEEE Transactions on Systems, Man and Cybernetics, Part A 30(5): 573-580.
- Pels E, P Nijkamp and P Rietveld (2003). “Inefficiencies and Scale Economies of European Airport Operations.” Transportation Research Part E: Logistics and Transportation Review 39(5): 341.
- Pendharkar PC (2002). “A Potential Use of Data Envelopment Analysis for the Inverse Classification Problem.” Omega 30(3): 243-248.
- Pendharkar PC (2005). “A Data Envelopment Analysis-Based Approach for Data Preprocessing.” IEEE Transactions on Knowledge and Data Engineering 17(10): 1379-1388.
- Pendharkar PC (2006). “Scale Economies and Production Function Estimation for Object-Oriented Software Component and Source Code Documentation Size.” EJOR 172(3): 1040-1050.
- Pendharkar PC, M Khosrowpour and JA Rodger (2000). “Application of Bayesian Network Classifiers and Data Envelopment Analysis for Mining Breast Cancer Patterns.” J Computer Information Systems 40(4): 127-131.
