Research Journal of Information Technology1815-74322151-7959Science International10.3923/rjit.2014.237.247JinCancan WuJi XuJuan WangXuhui 3201463The purpose of this study is to achieve the risk assessment by using the Bayesian
network. Provides a possible new method in airline risk assessment. Airline
risk assessment system is an interrelated index system. The risk assessment
index system is established by collecting the reliability data, maintainability
data, management data and safety data from airlines. The weight of index is
determined by using the analytic hierarchy process and the qualitative index
are quantified by using fuzzy comprehensive evaluation. The airline risk assessment
model is based on the Bayesian network. The findings of this article identify
a number of useful scenarios for future airline safety risk management applications
and considerations. Research limitations/implications: It is imperative to emphasize
that the concept of this article solely sheds light on risk assessment of Bayesian
network. Practical implications: Implications of risk assessment for airline
may result in enhancing airline safety management level and reducing operating
costs. Further implications could possibly be extended to various of civil aviation
operations. Social implications: The risk assessment method can be applied to
other complicated systems. Originality/value: The qualitative index are quantified
by using fuzzy comprehensive evaluation. The airline risk assessment model based
on the Bayesian Network (BN) using GeNIe software. In this way, it can take
full advantages of the two methods and raise the effect of integration.]]>Doguc, O. and J.E. Ramirez-Marquez,200994542550Khakzad, N., F. Khan and P. Amyotte,201196925932Jiye, S., X. Minqiang and W. Rixin,2009811924Pearl, J.,1993594956