Risk Correlation Analysis Based on Information Management

There are a variety of uncertainties in construction projects because of the uniqueness, complexity and the one time off characteristics of each project. Especially in the investment decision-making stage, decision-maker grasps so little information that there is a huge informational gap in this stage. The process of mining existing information in the investment decision-making stage is also the process of reducing risk and obtaining risk correlation rules. Based on the purpose of improving decision-making success rate and reducing the investment risk, this paper uses variable fuzzy sets, CBR and other intelligent algorithms for processing information in decision-making phase. Moreover this paper also summarized three methods to obtain risk correlation according to different processing methods. It can not only decrease the calculation difficulty and reduces decision-making reaction time, but also provide some reference for investment decision-making of future projects.