Abstract: A cloud model of evaluating the safety status of sluice was presented and applied in this paper. First of all, the safety evaluation index system was established; secondly, the weights were calculated using the improved Group-G1 method and Gini coefficient method, and the weights were combined by the ideal point method; the model was constructed and then applied to a case study; and finally, the evaluation result was compared with actual safety appraisal result in the purpose of verifying the correctness of the model. The model was adopted to analyze the problems in the sub-items of the sluice evaluation, predict the safety status of the sluice, and put forward suggestions for the operation management and daily maintenance of the sluice. The actual safety appraisal result was consistent with that of model computation. The model gave the safety grades of the sluice and its various evaluation sub-items, and generated cloud chart through MatLab to directly reflect the evaluation results of the sluice.

Key words: sluice project, safety evaluation, improved group-G1 method, Gini coefficient method, ideal point method, weight fusion, cloud model