The theory of evidence, called D-S theory, has great reasoning capacity in the questionably problems, and the dempster rule can provide theoretical foundation for the synergetic disposal of data.
证据理论在不确定性问题中有很强的推理能力，而且合成法则对数据的融合处理提供理论依据。
This paper detailedly introduces D-S evidence theory, and discusses the application of D-S evidence theory in vehicles identify.
论文详细地介绍了D - S证据理论，并探讨了D - S证据理论在车辆身份识别系统中的运用。
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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