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论文类型：会议论文

发表时间：2010-11-26

收录刊物：EI、Scopus

卷号：4

页面范围：27-30

摘要：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. ? 2010 IEEE.