Human Factor Analysis on Marine Accidents based on Attribute Reduction

摘要：

A new method based on attribute reduction, which is developed from rough set theory, is introduced to dig out main factors leading to human errors in marine accidents. The basic theory of rough set is mentioned, and a method of attribute deduction based on genetic algorithm is introduced. Experiment based on RSES, a rough set analysis tool, is implemented on a data-set which includes 30factors which may be lead to Look out Missing, a common human error on board. Reasonable result, an accurate set of main factors, is received after the implementation of the experiment and a conclusion that attribute reduction is a reliable and convenient way to generalize main factors lead to human errors in marine accident is made finally according to the experiment result.

作者: ZHENG Bin XIA Shaosheng CHEN Jinbiao JIN Yongxing

作者单位: Shanghai Maritime University,Shanghai,China

会议类型: 国际会议

会议名称: 2009 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2009)(2009年检测技术与机械自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 1443-1446

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）