Study on Intelligent Decision Support System of Private Pilot Error Prevention based on Rough Set
knowledge complex mode of prevention rules for Intelligent Decision Support System of Private Pilot Error Prevention is established to improve the peculiarity of operation.Based on the experienced data which are evaluated by the experienced pilots, an algorithm using rough set to reduce the data and knowledge is proposed.Based on a comprehensive analysis of rough set theory and present algorithms, extraction algorithm rule is presented In order to produce the design rule library, must consider the correlative between the disfigurements from the contents of unsafe events casual roots and the human errors of itself.This method is useful for general aviation private pilots to gain the training ability of Man-Machine interaction for prevention errors in Flight Training Stage at improving the level of flight safety.
intelligent decision support system private pilot rough set human errors
Li Weimin Yang Yue Tao Zhi
College of General Aviation,Civil Aviation University of China Jinbei Road,2898,Tianjin,China College of ATM,Civil Aviation University of China,Jinbei Road,2898,Tianjin,China College of Science,Civil Aviation University of China Jinbei Road,2898,Tianjin,China
国际会议
哈尔滨
英文
191-194
2013-08-16（万方平台首次上网日期，不代表论文的发表时间）