[1]
|
P. Andersen and N. C. Petersen, A procedure for ranking efficient units in data envelopment analysis, Management Science, 39 (1993), 1261-1264.
|
[2]
|
R. D. Banker, A. Charnes and W. W. Cooper, Some models for estimating technical and scale inefficiencies in data envelopment analysis, Management Science, 30 (1984), 1078-1092.
|
[3]
|
M. Carrillo and J. M. Jorge, A multiobjective DEA approach to ranking alternatives, Expert Systems with Applications, 50 (2016), 130-139.
|
[4]
|
A. Charnes, W. W. Cooper and E. Rhodes, Measuring the efficiency of decision making units, European Journal of Operational Research, 2 (1978), 429-444.
doi: 10.1016/0377-2217(78)90138-8.
|
[5]
|
Y. Chen, Ranking efficient units in DEA, Omega, 32 (2004), 213-217.
|
[6]
|
Y. Chen, J. Du and J. Huo, Super-efficiency based on a modified directional distance function, Omega, 41 (2013), 621-625.
|
[7]
|
Y. Chen, H. Morita and J. Zhu, Context-dependent DEA with an application to Tokyo public libraries, International Journal of Information Technology & Decision Making, 4 (2005), 385-394.
|
[8]
|
Y. Chen and L. Liang, Super-efficiency DEA in the presence of infeasibility: One model approach, European Journal of Operational Research, 212 (2011), 141-147.
doi: 10.1016/j.ejor.2011.01.022.
|
[9]
|
W. D. Cook, Y. Roll and A. Kazakov, A DEA model for measuring the relative efficiency of highway maintenance patrols, INFOR: Information Systems and Operational Research, 28 (1990), 113-124.
|
[10]
|
R. H. Green, J. R. Doyle and W. D. Cook, Preference voting and project ranking using DEA and cross-evaluation, European Journal of Operational Research, 90 (1996), 461-472.
|
[11]
|
F. Hosseinzadeh Lotfi, A. A. Noora, G. R. Jahanshahloo and M. Reshadi, One DEA ranking method based on applying aggregate units, Expert Systems with Applications, 38 (2011), 13468-13471.
|
[12]
|
M. Izadikhah and R. Farzipoor Saen, A new data envelopment analysis method for ranking decision making units: an application in industrial parks, Expert Systems, 32 (2015), 596-608.
|
[13]
|
J. Jablonsky, Multicriteria approaches for ranking of efficient units in DEA models, Central European Journal of Operations Research, 20 (2012), 435-449.
doi: 10.1007/s10100-011-0223-6.
|
[14]
|
G. R. Jahanshahloo, F. Hosseinzadeh Lotfi, H. Zhiani Rezai and F. Rezai Balf, Using Monte Carlo method for ranking efficient DMUs, Applied Mathematics and Computation, 162 (2005), 371-379.
doi: 10.1016/j.amc.2003.12.139.
|
[15]
|
G. R. Jahanshahloo, A. Memariani, F. H. Lotfi and H. Z. Rezai, A note on some of DEA models and finding efficiency and complete ranking using common set of weights, Applied Mathematics and Computation, 166 (2005), 265-281.
doi: 10.1016/j.amc.2004.04.088.
|
[16]
|
G. R. Jahanshahloo, H. V. Junior, F. H. Lotfi and D. Akbarian, A new DEA ranking system based on changing the reference set, European Journal of Operational Research, 181 (2007), 331-337.
|
[17]
|
Y. Li, J. Xie, M. Wang and L. Liang, Super efficiency evaluation using a common platform on a cooperative game, European Journal of Operational Research, 255 (2016), 884-892.
doi: 10.1016/j.ejor.2016.06.001.
|
[18]
|
S. Lim, Minimax and maximin formulations of cross-efficiency in DEA, Computers & Industrial Engineering, 62 (2012), 726-731.
|
[19]
|
S. Lim, K. W. Oh and J. Zhu, Use of DEA cross-efficiency evaluation in portfolio selection: An application to Korean stock market, European Journal of Operational Research, 236 (2014), 361-368.
doi: 10.1016/j.ejor.2013.12.002.
|
[20]
|
F. H. Liu and H. Hsuan Peng, Ranking of units on the DEA frontier with common weights, Computers & Operations Research, 35 (2008), 1624-1637.
|
[21]
|
W.-M. Lu and S.-F. Lo, An interactive benchmark model ranking performers -Application to financial holding companies, Mathematical and Computer Modelling, 49 (2009), 172-179.
doi: 10.1016/j.mcm.2008.06.008.
|
[22]
|
M. Oral, O. Kettani and P. Lang, A methodology for collective evaluation and selection of industrial R & D projects, Management Science, 37 (1991), 871-885.
|
[23]
|
A. Oukil and G. R. Amin, Maximum appreciative cross-efficiency in DEA: A new ranking method, Computers & Industrial Engineering, 81 (2015), 14-21.
|
[24]
|
C. Parkan, J. Wang, D. Wu and G. Wei, Data envelopment analysis based on maximin relative efficiency criterion, Computers & Operations Research, 39 (2012), 2478-2487.
doi: 10.1016/j.cor.2011.12.015.
|
[25]
|
V. V. Podinovski, DEA models for the explicit maximisation of relative efficiency, European Journal of Operational Research, 131 (2001), 572-586.
doi: 10.1016/S0377-2217(00)00099-0.
|
[26]
|
V. V. Podinovski and A. D. Athanassopoulos,
Assessing the relative efficiency of decision making units using DEA models with weight restrictions,
Journal of the Operational Research Society, 49 (1998), 500.
doi: 10.1016/j.ejor.2016.04.035.
|
[27]
|
S. Ramezani-Tarkhorani, M. Khodabakhshi, S. Mehrabian and F. Nuri-Bahmani, Ranking decision-making units using common weights in DEA, Applied Mathematical Modelling, 38 (2014), 3890-3890.
doi: 10.1016/j.apm.2013.08.029.
|
[28]
|
J. L. Ruiz and I. Sirvent, On the DEA total weight flexibility and the aggregation in cross-efficiency evaluations, European Journal of Operational Research, 223 (2012), 732-738.
doi: 10.1016/j.ejor.2012.06.011.
|
[29]
|
S. J. Sadjadi, H. Omrani, S. Abdollahzadeh, M. Alinaghian and H. Mohammadi, A robust super-efficiency data envelopment analysis model for ranking of provincial gas companies in Iran, Expert Systems with Applications, 38 (2011), 10875-10881.
|
[30]
|
L. M. Seiford and J. Zhu, Context-dependent data envelopment analysis -Measuring attractiveness and progress, Omega, 31 (2003), 397-408.
|
[31]
|
T. R. Sexton, R. H. Silkman and A. J. Hogan, Data envelopment analysis: Critique and extensions, New Directions for Evaluation, (1986), 73-105.
|
[32]
|
M. Soltanifar and F. Hosseinzadeh Lotfi, The voting analytic hierarchy process method for discriminating among efficient decision making units in data envelopment analysis, Computers & Industrial Engineering, 60 (2011), 585-592.
|
[33]
|
J. Sun, J. Wu and D. Guo, Performance ranking of units considering ideal and anti-ideal DMU with common weights, Applied Mathematical Modelling, 37 (2013), 6301-6310.
doi: 10.1016/j.apm.2013.01.010.
|
[34]
|
R. M. Thrall, Duality, classification and slacks in DEA, Annals of Operations Research, 66 (1996), 109-138.
doi: 10.1007/BF02187297.
|
[35]
|
K. Tone, A slacks-based measure of super-efficiency in data envelopment analysis, European Journal of Operational Research, 143 (2002), 32-41.
doi: 10.1016/S0377-2217(01)00324-1.
|
[36]
|
Y. M. Wang, K. S. Chin and J. B. Yang, Measuring the performances of decision-making units using geometric average efficiency, Journal of the Operational Research Society, 58 (2007), 929-937.
doi: 10.1016/j.cam.2005.12.025.
|
[37]
|
Y.-M. Wang and K.-S. Chin, Some alternative models for DEA cross-efficiency evaluation, International Journal of Production Economics, 128 (2010), 332-338.
|
[38]
|
Y.-M. Wang and P. Jiang, Alternative mixed integer linear programming models for identifying the most efficient decision making unit in data envelopment analysis, Computers & Industrial Engineering, 62 (2012), 546-553.
|
[39]
|
M. Wang and Y. Li, Supplier evaluation based on Nash bargaining game model, Expert Systems with Applications, 41 (2014), 4181-4185.
|
[40]
|
J. Wu, L. Liang, F. Yang and H. Yan, Bargaining game model in the evaluation of decision making units, Expert Systems with Applications, 36 (2009), 4357-4362.
|
[41]
|
J. Wu, J. Chu, Q. Zhu, P. Yin and L. Liang, DEA cross-efficiency evaluation based on satisfaction degree: an application to technology selection, International Journal of Production Research, 54 (2016), 5990-6007.
|
[42]
|
J. Wu, J. Chu, Q. Zhu, P. Yin and L. Liang, Extended secondary goal models for weights selection in DEA cross-efficiency evaluation, Computers & Industrial Engineering, 93 (2016), 143-151.
|
[43]
|
M. Zerafat Angiz, A. Mustafa and M. J. Kamali, Cross-ranking of decision making units in data envelopment analysis, Applied Mathematical Modelling, 37 (2013), 398-405.
doi: 10.1016/j.apm.2012.02.038.
|