Volume 3 Issue 3 pp. 463-476 Spring, 2012


A fuzzy neural network to estimate at completion costs of construction projects


Mohammad Reza Feylizadeh, Ayad Hendalianpour and Morteza Bagherpour


In construction cost management system, normally earned value management (EVM) is applied as an efficient control approach in both status detection and estimation at completion (EAC) cost forecasting. The traditional approaches in EAC predictions normally extend the current situation of a project to the future by employing pervious performance factor. The proposed approach of this paper considers both qualitative and quantitative factors affecting the EAC prediction. The proposed approach of this research not only estimates the completion of the project, but also it can generate accurate forecast for the entire future periods using a fuzzy neural network model. The model is also implemented for a real-world case study and yields encouraging preliminary results.


DOI: 10.5267/j.ijiec.2011.11.003

Keywords: EAC, Earned value management, Fuzzy neural network, Construction cost management

References

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