Mahmoudi, A., R. Mahmoudi, A. Emrouznejad, and A. Hafezalkotob (2025). Sustainable multi-channel supply chain design: An intuitive fuzzy game theory approach to deal with uncertain business environment, Development and Sustainability, 27: 23373–23414. (doi)
Fuzzy
Kumar, P., S. K. Mangla, Y. Kazancoglu, and A. Emrouznejad (2023) A Decision Framework for Incorporating the Coordination and Behavioural Issues in Sustainable Supply Chains in Digital Economy. Annals of Operations Research, 326:721–749.
Kumar, P., S. K. Mangla, Y. Kazancoglu, and A. Emrouznejad (2023) A Decision Framework for Incorporating the Coordination and Behavioural Issues in Sustainable Supply Chains in Digital Economy. Annals of Operations Research, 326:721–749. (doi)
Omrani, H., M. Valipour, and A. Emrouznejad (2021) A novel Best Worst Method Robust Data Envelopment Analysis: Incorporating Decision Makers’ preferences in an uncertain environment, Operations Research Perspectives, 8: 100184.
Omrani, H., M. Valipour, and A. Emrouznejad (2021) A novel Best Worst Method Robust Data Envelopment Analysis: Incorporating Decision Makers’ preferences in an uncertain environment, Operations Research Perspectives, 8: 100184. (doi)
Zhi W., H. Liao and A. Emrouznejad (2021) Information representation of blockchain technology: Risk evaluation of investment by personalized quantifier with cubic spline interpolation, Information Processing & Management, 58 (4): 102571
Zhi W., H. Liao and A. Emrouznejad (2021) Information representation of blockchain technology: Risk evaluation of investment by personalized quantifier with cubic spline interpolation, Information Processing & Management, 58 (4): 102571. (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)
Kazemi, S., R. K. Mavi, A. Emrouznejad, N. K. Mavi (2021) Fuzzy Clustering of Homogeneous Decision Making Units with Common Weights in Data Envelopment Analysis, Journal of Intelligent & Fuzzy Systems, 40 (1): 813-832
Kazemi, S., R. K. Mavi, A. Emrouznejad, N. K. Mavi (2021) Fuzzy Clustering of Homogeneous Decision Making Units with Common Weights in Data Envelopment Analysis, Journal of Intelligent & Fuzzy Systems, 40 (1): 813-832 (doi)
Peykani, P., E. Mohammadi, and A. Emrouznejad (2021) An Adjustable Fuzzy Chance-Constrained Network DEA Approach with Application to Ranking Investment Firms, Expert Systems with Applications, 166 (15): 1-20.
Peykani, P., E. Mohammadi, and A. Emrouznejad (2021) An Adjustable Fuzzy Chance-Constrained Network DEA Approach with Application to Ranking Investment Firms, Expert Systems with Applications, 166 (15): 1-20. (doi)
Shi, X. and A. Emrouznejad, M. Jin and F. Yang (2020) A New Parallel Fuzzy Data Envelopment Analysis Model for Parallel Systems with Two Components based on Stackelberg Game Theory, Fuzzy Optimization and Decision Making, 19: 311–332.
Shi, X. and A. Emrouznejad, M. Jin and F. Yang (2020) A New Parallel Fuzzy Data Envelopment Analysis Model for Parallel Systems with Two Components based on Stackelberg Game Theory, Fuzzy Optimization and Decision Making, 19: 311–332. (doi)
Peykani, P., E. Mohammadi, A. Emrouznejad, M. S. Pishvaee, M. Rostamy-Malkhalifeh (2019). Fuzzy Data Envelopment Analysis: An Adjustable Approach, Expert Systems with Applications, 136: 439-452.
Peykani, P., E. Mohammadi, A. Emrouznejad, M. S. Pishvaee, M. Rostamy-Malkhalifeh (2019). Fuzzy Data Envelopment Analysis: An Adjustable Approach, Expert Systems with Applications, 136: 439-452. (doi)
Emrouznejad, A. and W. Ho (2017) Analytic hierarchy process and fuzzy set theory”, in Fuzzy Analytic Hierarchy Process, 1:10, Taylor & Francis Group.
Emrouznejad, A. and W. Ho (2017) Analytic hierarchy process and fuzzy set theory”, in Fuzzy Analytic Hierarchy Process, 1:10, Taylor & Francis Group. (doi)