信度理论是研究如何合理利用先验信息和个体索赔经验来进行估计、预测以及制定后验保费。
结合主观贝页斯方法、可信度理论和模糊综合评判法来解决学生评价中的不确定性、动态性和模糊性。
Combination of subjective bayes method, certainty factor theory and fuzzy comprehensive evaluation method are applied to solve the uncertainty, dynamics and fuzzy in student evaluation.
本文主要涉及的不确定推理模型包括主观贝叶斯的概率推理模型，可信度理论推理模型，证据理论及其改进推理模型以及神经网络推理模型。
In the paper, the models of uncertain reasoning are focused, such as the reasoning model of Bayes probability, Reliability theory, D-S evidence theory and Neural Network.
再利用D - S联合规则结合模糊逻辑理论，得到融合后的信度函数分配，从而确定故障元件。
The fusion belief function assignment is gotten by using D-S rule and fuzzy logic theory, and fault component is found.
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