The application of fuzzy analytic hierarchy process and artificial neural network in elevator risk assessment

The method of weighted averaging is commonly employed in the ANN model for the risk- assessment of special equipment. Because the selection of weights depends on the expert experience, the process of the assessment generally takes a long time to complete. To deal with this problem, we propose a new risk-assessment model based on FAHP and ANN. This model is applied to the risk-assessment of elevators. Results show that the assessment time is shorter and the accuracy is not lower, in comparison with that from the ANN model.