Efficiency measurement in data envelopment analysis in the presence of ordinal and interval data
B. Ebrahimi, M. Tavana, M. Rahmani, F.J. Santos-Arteaga, Neural Computing and Applications 30 (2018) 1971–1982.
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Journal Article
| Published
| English
Author
Ebrahimi, Bohlool;
Tavana, MadjidLibreCat;
Rahmani, Morteza;
Santos-Arteaga, Francisco J.
Publishing Year
Journal Title
Neural Computing and Applications
Volume
30
Issue
6
Page
1971-1982
LibreCat-ID
Cite this
Ebrahimi B, Tavana M, Rahmani M, Santos-Arteaga FJ. Efficiency measurement in data envelopment analysis in the presence of ordinal and interval data. Neural Computing and Applications. 2018;30(6):1971-1982. doi:10.1007/s00521-016-2826-2
Ebrahimi, B., Tavana, M., Rahmani, M., & Santos-Arteaga, F. J. (2018). Efficiency measurement in data envelopment analysis in the presence of ordinal and interval data. Neural Computing and Applications, 30(6), 1971–1982. https://doi.org/10.1007/s00521-016-2826-2
@article{Ebrahimi_Tavana_Rahmani_Santos-Arteaga_2018, title={Efficiency measurement in data envelopment analysis in the presence of ordinal and interval data}, volume={30}, DOI={10.1007/s00521-016-2826-2}, number={6}, journal={Neural Computing and Applications}, publisher={Springer Science and Business Media LLC}, author={Ebrahimi, Bohlool and Tavana, Madjid and Rahmani, Morteza and Santos-Arteaga, Francisco J.}, year={2018}, pages={1971–1982} }
Ebrahimi, Bohlool, Madjid Tavana, Morteza Rahmani, and Francisco J. Santos-Arteaga. “Efficiency Measurement in Data Envelopment Analysis in the Presence of Ordinal and Interval Data.” Neural Computing and Applications 30, no. 6 (2018): 1971–82. https://doi.org/10.1007/s00521-016-2826-2.
B. Ebrahimi, M. Tavana, M. Rahmani, and F. J. Santos-Arteaga, “Efficiency measurement in data envelopment analysis in the presence of ordinal and interval data,” Neural Computing and Applications, vol. 30, no. 6, pp. 1971–1982, 2018, doi: 10.1007/s00521-016-2826-2.
Ebrahimi, Bohlool, et al. “Efficiency Measurement in Data Envelopment Analysis in the Presence of Ordinal and Interval Data.” Neural Computing and Applications, vol. 30, no. 6, Springer Science and Business Media LLC, 2018, pp. 1971–82, doi:10.1007/s00521-016-2826-2.
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