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Latest bibliography of DEA with more than 10,000 articles
Emrouznejad A. and G. Yang (2018) A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016, Socio-Economic Planning Sciences, 61(1): 1-5. http://dx.doi.org/10.1016/j.seps.2017.01.008
CLICK HERE to download bibliography (1978-2016)
CLICK HERE to download Supplement with list of over 10,000 articles
biblio
- Tsionas EG (2003). “Combining DEA and Stochastic Frontier Models: An Empirical Bayes Approach.” EJOR 147(3): 499-510.
- Troutt MD, AM Zhang, SK Tadisina and A Rai (1997). “Total Factor Efficiency/Productivity Ratio Fitting as an Alternative to Regression and Canonical Correlation Models for Performance Data.” Ann Oper Res 74: 289-304.
- Triantis K, S Sarangi and D Kuchta (2003). “Fuzzy Pair-Wise Dominance and Fuzzy Indices: An Evaluation of Productive Performance.” EJOR 144(2): 412-428.
- Triantis KP (1992). “A Fuzzy Clustering Approach Used in Evaluating Technical Efficiency Measures in Manufacturing.” JPA 3(4): 337-363.
- Triantis KP (1997). “Fuzzy Nonradial DEA Measures of Technical Efficiency.? in Proceedings of Iportland International Conference on Management of Engineering Technology, IEEE: 779-782.
- Triantis KP and O Girod (1997). “Measurement and Evaluation of Efficiency Performance in Manufacturing: A Fuzzy Data Envelopment Analysis (DEA) Approach.? in Proceedings of the International Symposium on Unmanned Untethered Submersible Technology: 897.
- Tripp JD, PM Kenny and DT Johnson (2005). “An Examination of the Efficiency of Single vs. Multiple Common Bond Credit Unions.” Research in Finance 21: 253-263.
- Troutt MD (1997). “Derivation of the Maximin Efficiency Ratio Model from the Maximum Decisional Efficiency Principle.” Ann Oper Res 73: 323-338.
- Troutt MD, IC Ehie and AA Brandyberry (2007). “Maximally Productive Input-Output Units.” EJOR 178(2): 359-373.
- Troutt MD, DW Gribbin, M Shanker and A Zhang (2000). “Cost Efficiency Benchmarking for Operational Units with Multiple Cost Drivers.” Decision Sciences 31(4): 813-832.
