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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
- Wang X and C Peng (2000). “Integrated Software for Evaluating Advanced Manufacturing Technology Investment.? in Proceedings of the Seventh International Conference on Industrial Engineering and Engineering Management, Publishing House: 102-105.
- Wang XH, XF Wang, AM Zhai and YJ Feng (2005). “A DEA Model Characterized by Increasing Marginal Revenue.” J Shanghai Jiaotong University 39(3): 484-487.
- Wang X-H, X-F Wang, A-M Zhai and Y-J Feng (2004). “Method to Resolve DEA Model with Increasing Marginal Revenue.” J Harbin Institute of Technology 36(10): 1297-1300.
- Wang Y and Y-J Feng (2004). “Cone-Ratio DEA Model Based on Group Decision.” J Harbin Institute of Technology 36(10): 1285-1287.
- Wang Y, VM LeMay and PL Marshall (1996). “Relative Efficiency and Reliability of Parametric and Nonparametric Sequential Accuracy Testing Plans.” Canadian J Forest Research 26(10): 1724-1730.
- Wang YM and JB Yang (2007). “Measuring the Performances of Decision-Making Units Using Interval Efficiencies.” J Computational and Applied Mathematics 198(1): 253-267.
- Wang Y-M, R Greatbanks and J-B Yang (2005). “Interval Efficiency Assessment Using Data Envelopment Analysis.” Fuzzy Sets and Systems 153(3): 347-370.
- Wang Y-M and Y Luo (2006). ?DEA Efficiency Assessment Using Ideal and Anti-Ideal Decision Making Units.” Appl Math Comput 173(2): 902-915.
- Wang Y-S, Y Zhang and K-W Chau (2001). “An Evaluation and Analysis of the Production Efficiency in Hong Kong’s Construction Industry.” J South China University of Technology 29(5): 94-97.
- Wang Q-Y, B Zhang and Q-S Cai (2000). “Evaluation of Current Data Mining Algorithms.” Mini-Micro Systems 21(1): 75-78.
