The application of fuzzy analytic hierarchy process and artificial neural network in elevator risk assessment
模糊层次分析法和人工神经网络模型在电梯风险评估中的应用

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 enerally takes a long time to complete. To deal with this problem, we propose a new risk-assessment model based on FAHP nd ANN. This model is applied to the risk-assessment of elevators. Results show that the assessment time is shorter nd the accuracy is not lower, in comparison with that from the ANN model.