Optimistic and pessimistic performance and congestion analysis in fuzzy data envelopment analysis
M. Khodabakhshi, M. Tavana, F.B. Abootaleb, International Journal of Logistics Systems and Management 24 (2016).
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Journal Article
| Published
| English
Author
Khodabakhshi, Mohamad;
Tavana, MadjidLibreCat;
Abootaleb, Fatemeh Baghbani
Publishing Year
Journal Title
International Journal of Logistics Systems and Management
Volume
24
Issue
1
Article Number
1
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Cite this
Khodabakhshi M, Tavana M, Abootaleb FB. Optimistic and pessimistic performance and congestion analysis in fuzzy data envelopment analysis. International Journal of Logistics Systems and Management. 2016;24(1). doi:10.1504/ijlsm.2016.075660
Khodabakhshi, M., Tavana, M., & Abootaleb, F. B. (2016). Optimistic and pessimistic performance and congestion analysis in fuzzy data envelopment analysis. International Journal of Logistics Systems and Management, 24(1), Article 1. https://doi.org/10.1504/ijlsm.2016.075660
@article{Khodabakhshi_Tavana_Abootaleb_2016, title={Optimistic and pessimistic performance and congestion analysis in fuzzy data envelopment analysis}, volume={24}, DOI={10.1504/ijlsm.2016.075660}, number={11}, journal={International Journal of Logistics Systems and Management}, publisher={Inderscience Publishers}, author={Khodabakhshi, Mohamad and Tavana, Madjid and Abootaleb, Fatemeh Baghbani}, year={2016} }
Khodabakhshi, Mohamad, Madjid Tavana, and Fatemeh Baghbani Abootaleb. “Optimistic and Pessimistic Performance and Congestion Analysis in Fuzzy Data Envelopment Analysis.” International Journal of Logistics Systems and Management 24, no. 1 (2016). https://doi.org/10.1504/ijlsm.2016.075660.
M. Khodabakhshi, M. Tavana, and F. B. Abootaleb, “Optimistic and pessimistic performance and congestion analysis in fuzzy data envelopment analysis,” International Journal of Logistics Systems and Management, vol. 24, no. 1, Art. no. 1, 2016, doi: 10.1504/ijlsm.2016.075660.
Khodabakhshi, Mohamad, et al. “Optimistic and Pessimistic Performance and Congestion Analysis in Fuzzy Data Envelopment Analysis.” International Journal of Logistics Systems and Management, vol. 24, no. 1, 1, Inderscience Publishers, 2016, doi:10.1504/ijlsm.2016.075660.
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