- Anbari, F. T. (2003). Earned value project management method and extensions. Project management journal, 34(4), 12-23.
- Aramali, V., Gibson Jr, G. E., El Asmar, M., & Cho, N. (2021). Earned value management system state of practice: Identifying critical subprocesses, challenges, and environment factors of a high-performing EVMS. Journal of Management in Engineering, 37(4), 04021031.
- Art Gowan, J., Mathieu, R. G., & Hey, M. B. (2006). Earned value management in a data warehouse project. Information management & computer security, 14(1), 37-50.
- Babar, S., Thaheem, M. J., & Ayub, B. (2017). Estimated cost at completion: Integrating risk into earned value management. Journal of Construction Engineering and Management, 143(3), 04016104.
- Clausing, D., & Frey, D. D. (2005). Improving system reliability by failure‐mode avoidance including four concept design strategies.Systems engineering, 8(3), 245-261.
- Christensen, D. S. (1994). Using performance indices to evaluate the estimate at completion. The Journal of Cost Analysis, 11(1), 17-23.
- Dubois, D., & Prade, H. (1980). Systems of linear fuzzy constraints. Fuzzy sets and Systems, 3(1), 37-48.
- De Marco, A., Rosso, M., & Narbaev, T. (2016). Nonlinear cost estimates at completion adjusted with risk contingency. The Journal of Modern Project Management, 4(2).
- De Andrade, P. A., Martens, A., & Vanhoucke, M. (2019). Using real project schedule data to compare earned schedule and earned duration management project time forecasting capabilities. Automation in Construction, 99, 68-78.
- Enayati Fatollah, S., Dabbagh, R., & Shahsavar Jalavat, A. (2022). An extended approach using failure modes and effects analysis (FMEA) and weighting method for assessment of risk factors in the petrochemical industry. Environment, Development and Sustainability, 1-26.
- Gargama, H., & Chaturvedi, S. K. (2011). Criticality assessment models for failure mode effects and criticality analysis using fuzzy logic. IEEE Transactions on Reliability, 60(1), 102-110.
- Henderson, K. (2003). Earned schedule: A breakthrough extension to earned value theory? A retrospective analysis of real project data. The Measurable News, 1(2), 13-23.
- Henderson, K. (2004). Further developments in earned schedule. The measurable news, 1(1), 15-22.
- Jacob, D. (2003). Forecasting project schedule completion with earned value metrics. The Measurable News, 1(1), 7-9.
- Kim, E., Wells, W. G., & Duffey, M. R. (2003). A model for effective implementation of Earned Value Management methodology. International Journal of Project Management, 21(5), 375-382.
- Kamyabniya, A., Seyedhoseini, S. M., & Yaghoubi, S. (2015). Project time and cost estimate at completion based on non-parametric resampling with interval risk. International Journal of Industrial and Systems Engineering, 21(4), 458-473.
- Liu, H. C., Liu, L., Bian, Q. H., Lin, Q. L., Dong, N., & Xu, P. C. (2011). Failure mode and effects analysis using fuzzy evidential reasoning approach and grey theory. Expert Systems with Applications, 38(4), 4403-4415.
- Lipke, W. (2003). Schedule is different. The Measurable News, 31(4), 31-34.
- Lipke, W., Zwikael, O., Henderson, K., & Anbari, F. (2009). Prediction of project outcome: The application of statistical methods to earned value management and earned schedule performance indexes. International journal of project management, 27(4), 400-407.
- Naeni, L. M., & Salehipour, A. (2011). Evaluating fuzzy earned value indices and estimates by applying alpha cuts. Expert systems with Applications, 38(7), 8193-8198.
- Narbaev, T., & De Marco, A. (2017). Earned Value and Cost Contingency Management: A Framework Model for Risk Adjusted Cost Forecasting. The Journal of Modern Project Management, 4(3).
- Mandal, S., & Maiti, J. (2014). Risk analysis using FMEA: Fuzzy similarity value and possibility theory based approach. Expert Systems with Applications, 41(7), 3527-3537.
- Mortaji, S. T. H., Noori, S., & Bagherpour, M. (2021). Directed earned value management based on ordered fuzzy numbers. Journal of Intelligent & Fuzzy Systems, 40(5), 10183-10196.
- Moradi, N., Mousavi, S. M., & Vahdani, B. (2017). An earned value model with risk analysis for project management under uncertain conditions. Journal of Intelligent & Fuzzy Systems, 32(1), 97-113.
- Moradi, N., Mousavi, S. M., & Vahdani, B. (2018). An Interval Type-2 Fuzzy Model for Project-earned Value Analysis Under Uncertainty. Journal of Multiple-Valued Logic & Soft Computing, 30(1).
- Muriana, C., & Vizzini, G. (2017). Project risk management: A deterministic quantitative technique for assessment and mitigation. International Journal of Project Management, 35(3), 320-340.
- Pajares, J., & Lopez-Paredes, A. (2011). An extension of the EVM analysis for project monitoring: The Cost Control Index and the Schedule Control Index. International Journal of Project Management, 29(5), 615-621.
- Roghabadi, M. A., & Moselhi, O. (2022). Forecasting project duration using risk-based earned duration management. International Journal of Construction Management, 22(16), 3077-3087.
- Stamatis, D. H. (2003). Failure mode and effect analysis: FMEA from theory to execution. Quality Press.
- Song, J., Martens, A., & Vanhoucke, M. (2022). Using Earned Value Management and Schedule Risk Analysis with resource constraints for project control. European Journal of Operational Research, 297(2), 451-466.
- Tabriz, A. A., Farrokh, M., Nooshabadi, G. M., & Nia, H. H. (2013). A combined approach of the earned value management and the risk management for estimating final results of projects in fuzzy environment. Business Management and Strategy, 4(1), 32-52.
- Vandevoorde, S., & Vanhoucke, M. (2006). A comparison of different project duration forecasting methods using earned value metrics. International journal of project management, 24(4), 289-302.
- Wang, Y. M., Chin, K. S., Poon, G. K. K., & Yang, J. B. (2009). Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean. Expert systems with applications, 36(2), 1195-1207.
- Yager, R. R. (1981). A procedure for ordering fuzzy subsets of the unit interval. Information sciences, 24(2), 143-161.
- Yet, B., Constantinou, A., Fenton, N., Neil, M., Luedeling, E., & Shepherd, K. (2016). A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study. Expert Systems with Applications, 60, 141-155.
- Yu, F., Chen, X., Cory, C. A., Yang, Z., & Hu, Y. (2021). An active construction dynamic schedule management model: using the fuzzy earned value management and BP neural network. KSCE Journal of Civil Engineering, 25(7), 2335-2349.
- Zarghami, S. A. (2022). Forecasting project duration in the face of disruptive events: A resource-based approach. Journal of Construction Engineering and Management, 148(5), 04022016.
- Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353.
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