A novel method for solving data envelopment analysis problems with weak ordinal data using robust measures
B. Ebrahimi, A. Dellnitz, A. Kleine, M. Tavana, Expert Systems with Applications 164 (2020).
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Journal Article
| Published
| English
Author
Ebrahimi, Bohlool;
Dellnitz, Andreas;
Kleine, Andreas;
Tavana, MadjidLibreCat
Publishing Year
Journal Title
Expert Systems with Applications
Volume
164
Article Number
113835
ISSN
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Ebrahimi B, Dellnitz A, Kleine A, Tavana M. A novel method for solving data envelopment analysis problems with weak ordinal data using robust measures. Expert Systems with Applications. 2020;164. doi:10.1016/j.eswa.2020.113835
Ebrahimi, B., Dellnitz, A., Kleine, A., & Tavana, M. (2020). A novel method for solving data envelopment analysis problems with weak ordinal data using robust measures. Expert Systems with Applications, 164, Article 113835. https://doi.org/10.1016/j.eswa.2020.113835
@article{Ebrahimi_Dellnitz_Kleine_Tavana_2020, title={A novel method for solving data envelopment analysis problems with weak ordinal data using robust measures}, volume={164}, DOI={10.1016/j.eswa.2020.113835}, number={113835}, journal={Expert Systems with Applications}, publisher={Elsevier BV}, author={Ebrahimi, Bohlool and Dellnitz, Andreas and Kleine, Andreas and Tavana, Madjid}, year={2020} }
Ebrahimi, Bohlool, Andreas Dellnitz, Andreas Kleine, and Madjid Tavana. “A Novel Method for Solving Data Envelopment Analysis Problems with Weak Ordinal Data Using Robust Measures.” Expert Systems with Applications 164 (2020). https://doi.org/10.1016/j.eswa.2020.113835.
B. Ebrahimi, A. Dellnitz, A. Kleine, and M. Tavana, “A novel method for solving data envelopment analysis problems with weak ordinal data using robust measures,” Expert Systems with Applications, vol. 164, Art. no. 113835, 2020, doi: 10.1016/j.eswa.2020.113835.
Ebrahimi, Bohlool, et al. “A Novel Method for Solving Data Envelopment Analysis Problems with Weak Ordinal Data Using Robust Measures.” Expert Systems with Applications, vol. 164, 113835, Elsevier BV, 2020, doi:10.1016/j.eswa.2020.113835.
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