@inproceedings{9058e8cd0c704e6db2c0c4788f676f71,
title = "Human factors analysis model of flight crew members based on bayesian network in China civil aviation incidents",
abstract = "In order to figure out the human factors impact of flight crew members in incident deduction, a human factors analysis model of flight crew members based on a Bayesian network is established. After comparing CH scoring function and BIC scoring function, and comparing the K2 search algorithm and the hill-climbing search algorithm for model optimization, the Bayesian network analysis model is established by using 10 years of flight crew members' error data in China civil aviation incidents. The Bayesian network analysis model shows the probability distribution of flight crew members' errors in civil aviation incidents analysis, which is useful for analyzing and reducing flight crew members' errors.",
keywords = "Bayesian network, civil aviation safety, human factors, incident analysis",
author = "Yanyang Wang and Jing Li and Han Mei",
year = "2012",
doi = "10.1061/9780784412442.278",
language = "英语",
isbn = "9780784412442",
series = "CICTP 2012: Multimodal Transportation Systems - Convenient, Safe, Cost-Effective, Efficient - Proceedings of the 12th COTA International Conference of Transportation Professionals",
pages = "2738--2743",
booktitle = "CICTP 2012",
note = "12th COTA International Conference of Transportation Professionals: Multimodal Transportation Systems - Convenient, Safe, Cost-Effective, Efficient, CICTP 2012 ; Conference date: 03-08-2012 Through 06-08-2012",
}