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.
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。
Using uncertain reasoning, a reasoning model and an algorithm are presented, which give the answer to this problem effectively.
本文利用不确定推理中的概率推理方法，设计了购买决策树回溯推理的模型和算法，有效解决了这一问题。
In this ameliorative model, uncertain information has an effect on accuracy of reasoning conclusion. As a result, reliability of reasoning conclusion is improved.
在该模型中，不确定信息作用在推理结论的正确度上，提高了结论的可靠性。
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