文章基本信息

标题：A fuzzy neural network to estimate at completion costs of construction projects
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作者：Feylizadeh, M. ; Feylizadeh, M. ; Hendalianpour, A. 等
期刊名称：International Journal of Industrial Engineering Computations
印刷版ISSN：1923-2926
电子版ISSN：1923-2934
出版年度：2012
卷号：3
期号：3
页码：477-484
DOI：10.5267/j.ijiec.2011.11.003
语种：English
出版社：Growing Science Publishing Company
摘要：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.
关键词：Construction cost management; EAC; Earned value management; Fuzzy neural network