Multi-Index Risk Assessment Based on Extenics and BP Neural Network

摘要：

Based on Extenics and Neural Network, a new qualitative and quantitative evaluation technique has been put forward. The process obtains the index weight with the Neural Network and computes the incidence degree and adopts the Optimal Degree evaluation approach by Extenics. The method can get more exact and objective results than others. Finally, a demonstration is applied to illustrate and validate advantages of the method which comprehensively shows the result of risk assessment. The result indicates that this method, simple and clear, is not only easier to be implemented on computer but also makes up the other methods disadvantages of lacking of objectivity and dynamic nature. The approach is flexible and can be extended into other fields.

关键词： extenics risk assessment incidence degree BP neural network

作者: Qiao Zhongliang Dong Fajun Wang Shanshan Xia Aiyue

作者单位: Research Institute, The Armed Police Academy, Langfang, Hebei Province 065000, China China Science and Technology Museum, Beijing, 100029 Fundament Department, The Armed Police Academy, Langfang, Hebei Province 065000,China

会议类型: 国际会议

会议名称: The 1st International Conference on Risk Analysis and Crisis Response(首届风险分析与危机反应国际学术研讨会)

会议地点: 上海

会议语种:英文

页码: 204-208

在线出版日期: 2007-09-25（万方平台首次上网日期，不代表论文的发表时间）