Risk Evaluation of Bidding Decision Based on Multi-factor Clustering Analysis
Risk management for general contract project is well experienced task, which must deal with much more qualitative factors that is easy influenced by individuals, so that the objectivity cannot be guaranteed. A novel method is proposed in order to overcome the shortcomings, which use the clustering analysis to evaluate bidding risk. An optimal objective function based clustering model is designed to explore the data collected from completed projects. Mixed scale is employed in clustering to handle qualitative and quantitative data without converting respectively. So the individual prejudice is eliminated from risk evaluate results and bidding decision making is supported. Moreover the quantitative results of risk estimate is good base for project cost reckoning quickly. An instance is carried out verifying proposed method validity.
Construction project Risk Mized scale clustering Clustering cost
Zhao Ping Liu Xiaojun
Xi’an University of Architecture & Technology, Xi’an 710055, China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
2263-2268
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）