Uncertainties existing in the process of dam deformation negatively influence deformation prediction.However,existing deformation pre-diction models seldom consider uncertainties.In this study,a cloud-Verhulst hybrid prediction model was established by combing a cloud model with the Verhulst model.The expectation,one of the cloud characteristic parameters,was obtained using the Verhulst model,and the other two cloud characteristic parameters,entropy and hyper-entropy,were calculated by introducing inertia weight.The hybrid prediction model was used to predict the dam deformation in a hydroelectric project.Comparison of the prediction results of the hybrid prediction model with those of a traditional statistical model and the monitoring values shows that the proposed model has higher prediction accuracy than the traditional sta-tistical model.It provides a new approach to predicting dam deformation under uncertain conditions.