City Public Security Evaluation Using Fuzzy Neural Network Based on Factor Analysis

摘要：

A model based on factor analysis and fuzzy neural network was adopted to synthetically evaluate chinas city public security. An index system of city public security was built. Factor analysis was used to reduce the relative factors and keep main factors. Fuzzy neural network was applied to analyze main influence on the city public security evaluation issue, such as man-made accidents, facilities, management capacity and natural accidents. To prove the availability of the model, a case of chinas city public security was evaluated.

关键词： city public security fuzzy-neural network evaluation

作者: LIU Chengshui Yl Hongmei

作者单位: Beijing City University, Beijing,China, 100083

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: 1079-1083

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）