Expressway Management Risk Evaluation Based on Fuzzy Neural Networks

摘要：

On basis of management risks evaluation system for expressway projects, a risk evaluation model, which was based on the improved BP neural network and fuzzy synthetic evaluation, was established, trained and simulated in this study. The numerical value of various risky factors was confirmed using fuzzy synthetic evaluation method. Furthermore, the neural network model was designed and its BP algorithm was improved to overcome the limitation of multiple-dimensions input. This evaluation based on the fuzzy neural network model can objectively evaluate management risks and effectively avoid the subjectivity of confirming the risky factors weight. The fuzzy neural network model can help the managers to make sound decision on managing the risks in advance and to obtain an optimum solution.

关键词： risk evaluation expressway project neural network fuzzy synthetic evaluation

作者: ZHU Wenxi CAO Danyang

作者单位: School of Traffic and Transportation Engineering,Changsha University of Science & Technology, Changsha, P.R.China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 1652-1655

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）