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.
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