Projects bidding decision risk analysis based on multi-factor clustering analysis

Project risk management is a very complex work which the pre-bid decision-making risk is one of the important aspects among. This study is based on the consideration the facts that the general contractor risk management of project is a strong empirical work as well as the indicators described the project characteristic are mostly qualitative indicators. It adjusts the usual quantification mode of qualitative indicators did in the past. It introduced cluster analysis technique, established the analysis model based on the multi-objectives function optimum factors and hybrid scale stepwise clustering. Additionally, through the approach of established projects sample risk factor data mining, this study proposed scientific theory evidence for the decision making of general contractor construction project bidding. © 2013 Asian Network for Scientific Information.