This study integrates fuzzy theory and Bayesian belief network (BBN) to create a risk assessment model. The observed value in an event is defined as a Fuzzy number. Rule tables are conducted to create conditional probability tables in a BBN model. According to the proposed methodology, the risk assessment model based on BBN can be developed easily. To verify the feasibility of our proposed model, a flight risk assessment model has been created, and several practical cases have been evaluated.