针对广义传感器使用所产生的弱知识环境下不确定信息决策融合问题,给出了基于二阶Vague集的不确定信息的融合模型.通过数据示例演示了方法操作过程,并从不确定性来源、数据、模型、性能等方面讨论了本算法的先进性.结果表明,方法在二阶不确定决策融合中具有准确度高、稳定性好、容错能力强等优点. The fusion model of uncertain information based on second-order Vague sets is proposed to solve the problem of uncertain information decision fusion in the environment of weak knowledge generated by the use of generalized sensors. The data operation demonstrates the method operation, and from the sources of uncertainty, Data, model, performance and so on.The results show that the method has the advantages of high accuracy, good stability and good fault tolerance in the second-order uncertain decision fusion.