Title :
An integrated artificial neural networks model for industrial projects risk assessment
Author :
Gaber, M. Tarek ; Rabelo, Luis C. ; Hosny, Ossama A.
Author_Institution :
Dept. of Eng. Manage., Missouri Univ., Rolla, MO, USA
Abstract :
The authors propose integrating artificial neural networks (ANNs) with knowledge-based systems (KBSs) to improve risk assessment for new project evaluation. The use of an ANN for classifying new industrial projects according to their risk is examined. This application uses a self-organizing paradigm, ART2. The performance of the ANN was compared to expert classification; the network correctly classified most of the projects considered. The results show a great potential for ANNs to improve decision making in this field
Keywords :
knowledge based systems; project management; risk management; self-organising feature maps; ART2; decision making; industrial projects; integrated artificial neural networks; knowledge-based systems; model; project evaluation; risk assessment; self-organizing paradigm; Artificial neural networks; Costs; Decision making; Knowledge based systems; Pattern recognition; Research and development management; Risk analysis; Risk management; Systems engineering and theory; Uncertainty;
Conference_Titel :
Engineering Management Conference, 1992. Managing in a Global Environment., 1992 IEEE International
Conference_Location :
Eatontown, NJ
Print_ISBN :
0-7803-0854-9
DOI :
10.1109/IEMC.1992.225237
