Research into prevention of errors of airline transport pilots: A rough set approach

Author

Yang Yue ; Li Weimin ; Li Xueming

Author_Institution

Coll. of Air Traffic Manage., Civil Aviation Univ. of China, Tianjin, China

Volume

1

fYear

2013

fDate

16-19 Aug. 2013

Firstpage

154

Lastpage

158

Abstract

Aiming at prevent the errors of airline transport pilots, make sure the Safety Management System (SMS) advocated by ICAO, a theoretical framework is proposed base on the basis analysis of theories of human factors and human error prevention. Firstly, analysis the basic elements of flight errors by means of the data mining theory and the construct new rules of decision making, then provide knowledge validation services to certified senior pilots, with this method, the risk and mitigation of airline can be assessment.

Keywords

data mining; decision making; error analysis; human factors; risk management; rough set theory; safety systems; travel industry; ICAO; airline transport pilots; data mining theory; decision making; flight error analysis; human error prevention; human factors; risk assessment; rough set approach; safety management system; Accidents; Aerospace electronics; Data mining; Educational institutions; Human factors; Instruments; Safety; error prevention; human factor and human error; risk assessment; rough set;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic Measurement & Instruments (ICEMI), 2013 IEEE 11th International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4799-0757-1

Type

conf

DOI

10.1109/ICEMI.2013.6743058

Filename

6743058