• 1. uncertain reasoning model: 不确定推理模型

• 1.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。
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• 2.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。
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• 3.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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