Automotive recall probability forecast based on T-S fuzzy neural network evaluation model

摘要：

　　The recalls of defective automotive are one of the effective ways of removing automotive defects and improving the safety of transportation.Using the American NHTSA large data which include complaints data,defects data and recall data,there will be analyzed the amount of complaints and the attributions of defects by severity are influenced factors of recall.Next the recall will be forecast by the information of complaints,crash,fire,injured and fatality.It will be opened by the quantitative forecast for recall of automotive,and it is a potent means for the governments decision of car recalls.

关键词： Automotive recall Evaluation ANN T-S model forecast

作者: Lian Lanxiang Yao Danya Huang Ling

作者单位: Academy of Automation, Tsinghua University, Beijing 100084, China Center of Technology of Traffic bureau, Department of Science and Technology, Beijing 100044, China

会议类型: 国际会议

会议名称: the 32nd Chinese Control Conference(第三十二届中国控制会议)

会议地点: 西安

会议语种:英文

页码: 3338-3343

在线出版日期: 2013-07-01（万方平台首次上网日期，不代表论文的发表时间）