The risk assessment model of special equipment based on F-AHP and ANN

Special equipments mean equipments that are dangerous and relating to lives such as boiler, pressure container, elevator, crane, and the passenger ropeways. The method of weighted average analysis is used in the artificial neural network (ANN) model of the Risk Assessment for special equipments. In this method the adopted weights are all based on expert experience, so the assessment time is too long. So a risk assessment model based on fuzzy analytic hierarchy process (F-AHP) and ANN is proposed. Firstly, to carry on the level analysis to all possible influences factor using the F-AHP method; calculates the weight of each influence factor which occupies in the influence special equipment safe state; then according to the weight choose the most influential factor as the input of ANN model. Finally use the risk assessment model on the elevator, the assessment time used is less than former ANN model, and the accuracy is not less than former ANN model.