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The risk evaluation of tailing ponds is characterized by randomness, fuzziness and numerous uncertainties in the evaluation process. In order to effectively guarantee the operational safety of tailing ponds, a tailing pond risk evaluation method based on a combined assignment-cloud model is proposed. From a system analysis perspective, this paper applies the physical-substance-human-reason (WSR) system theory to explore the factors affecting the safe operation of tailings ponds from three aspects; subject factors, object factors and organisational forms, and constructs a WSR-based tailings pond risk evaluation index system. Secondly, the improved G1 method and CRITIC method are used to assign subjective and objective weights to the evaluation indicators respectively, and the game theory algorithm calculates the combination coefficients with the best weights to derive the combination weights. Finally, the cloud model theory is combined to calculate the relative affiliation and comprehensive characteristic value of each indicator, and the risk level is classified based on the principle of maximum affiliation, and the visualisation effect is presented in the form of a cloud chart. The evaluation method is validated using a tailings pond in Yunnan Province as an example, and the results are consistent with the actual situation, and compared with unknown measures and other methods. [ABSTRACT FROM AUTHOR]