Research on risk assessment based on Bayesian network

Abstract

The 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. © 2014 Academic Journals Inc.