A New Decision Support System at Estimation of Project Completion Time Considering the Combination of Artificial Intelligence Methods based on Earn Value Management Framework
One of the important issues in project management is estimation of projects completion time. This paper proposes a model based on ensemble learning using certain features of projects in Earn Value Management (EVM) to estimate project completion time. Proper simulation of the dynamic nature of the project, higher reliability in comparison with individual methods, better robustness against the presence of a weak estimator, and appropriate control of the type and number of the existing regressions in ensemble are the important features of the proposed model. The proposed method is evaluated based on two datasets, which are created by three real projects, and promising results are obtained as compared to the other well-known estimators
