Song, M., S. K. Mangla, S. C. Perera, A. Emrouznejad, and J. Wang (2026), Integrating AI with nonparametric frontier models: an FDH-RBF approach for non-convex production possibility set approximation, Operational Research-An International Journal, 26: 105. (doi)
Tag: Q0
Emrouznejad, A. S. Abbasi, Ç. Sıcakyüz (2023) Supply chain risk management: A content analysis-based review of existing and emerging topics, Supply Chain Analytics, 3: 100031
Emrouznejad, A. S. Abbasi, Ç. Sıcakyüz (2023) Supply chain risk management: A content analysis-based review of existing and emerging topics, Supply Chain Analytics, 3: 100031. (doi)
Emrouznejad, A., V. Panchmati, R. Gholami, C. Rigsbee and , and H. B. Kartal (2023) Analysis of Smart Meter Data with Machine Learning for Implications Targeted towards Residents, International Journal of Urban Planning and Smart Cities, 4 (1): 1-22.
Emrouznejad, A., V. Panchmati, R. Gholami, C. Rigsbee and , and H. B. Kartal (2023) Analysis of Smart Meter Data with Machine Learning for Implications Targeted towards Residents, International Journal of Urban Planning and Smart Cities, 4 (1): 1-22. (doi)
Charles, V. A. Emrouznejad, T. Gherman, and J. Cochran (2022) Why data analytics is an art?, Significance 19 (6): 42-4.
Charles, V. A. Emrouznejad, T. Gherman, and J. Cochran (2022) Why data analytics is an art?, Significance 19 (6): 42-4. (doi)
Charles, V., A. Emrouznejad and T. Gherman (2022) Two types of stories that data scientists can tell, Inside OR, 614: 16-17.
Charles, V., A. Emrouznejad and T. Gherman (2022) Two types of stories that data scientists can tell, Inside OR, 614: 16-17. (doi)
Izadikhah, M., R. Roostaee and A. Emrouznejad (2021) Fuzzy Data Envelopment Analysis with Ordinal and Interval Data, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Accepted.
Izadikhah, M., R. Roostaee, and A. Emrouznejad (2021) Fuzzy Data Envelopment Analysis with Ordinal and Interval Data, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 29 (3): 385–409 (doi)
Zhu, C., N. Zhu, and, A. Emrouznejad (2021) A combined machine learning algorithms and DEA method for measuring and predicting the efficiency of Chinese manufacturing listed companies, Journal of Management Science and Engineering, 6 (4): 435-448
Zhu, C., N. Zhu, and, A. Emrouznejad (2021) A combined machine learning algorithms and DEA method for measuring and predicting the efficiency of Chinese manufacturing listed companies, Journal of Management Science and Engineering, 6 (4): 435-448. (doi)
Amin, G. R. and A. Emrouznejad (2007). Inverse linear programming in DEA. International Journal of Operations Research 4(2): 105-109
Amin, G. R. and A. Emrouznejad (2007). Inverse linear programming in DEA. International Journal of Operations Research 4(2): 105-109. (doi)
Kirigia, J. M., Z. Asbu, W. Greene and A. Emrouznejad (2007). Technical efficiency, efficiency change, technical progress and productivity growth in the national health systems of continental African countries. Eastern Africa Social Science Research Review 32(2): 12.
Kirigia, J. M., Z. Asbu, W. Greene and A. Emrouznejad (2007). Technical efficiency, efficiency change, technical progress and productivity growth in the national health systems of continental African countries. Eastern Africa Social Science Research Review 32(2): 12. (doi)
Kirigia, J. M., Omer A. Mensah, C Mwikisa, E. Z. Asbu, A. Emrouznejad, P. Makoudode and A. Hounnankan (2010). Technical Efficiency of Zone Hospitals in Benin. The African Health Monitor, 12: 30-39
Kirigia, J. M., Omer A. Mensah, C Mwikisa, E. Z. Asbu, A. Emrouznejad, P. Makoudode and A. Hounnankan (2010). Technical Efficiency of Zone Hospitals in Benin. The African Health Monitor, 12: 30-39. (doi)