An Approach to Overseas Iron Ore Investment Risk Assessment based on Fuzzy Neural Network

摘要：

The iron ore investment overseas influenced by a variety of risk factors including geological reserves risk, market risk, the risk of the investment environment, political and legal risks, and etc. Based on the theory of risk assessment, this paper firstly analyzed the risk from the asset influence and frequency of threat, set up risk level structure of overseas iron ore investment, and presented the membership matrices for judgment set. Then, the neural network and fuzzy reasoning theory were applied to evaluate the risk of overseas iron ore investment to obtain its risk grade. Finally, a calculation example was used to show how the method works, and the error analysis was applied to detecting effectiveness and reliability of the model performance.

关键词： fuzzy neural network iron ore investment risk oversea risk assessment

作者: GUO Li LU Caiwu YANG Zhen

作者单位: School of Management, Xian University of Architecture & Technology,Xian, Shaanxi, 710055, China

会议类型: 国际会议

会议名称: The 1st International Conference on Sustainable Construction & Risk Management(首届可持续建设与风险管理国际会议)

会议地点: 重庆

会议语种:英文

页码: 748-752

在线出版日期: 2010-06-12（万方平台首次上网日期，不代表论文的发表时间）