证据理论是一种重要的不确定性推理方法。
DS evidence theory is an important method in uncertainty reasoning.
本文对基于证据理论的k -NN分类方法进行了修正，得到了基于证据推理模型的k - NN分类方法，使分类结果更加精确。
By revising a K-NN classification method based on evidence theory, a new K-NN classification method based on evidence reasoning model is got, which made the classification result more accurate.
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。
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.
为了解决模糊逻辑推理过程中组合证据的方法过于简单容易丢失有用信息的问题，采用D - S证据理论进行模糊推理。
In order to resolve the problem of fuzzy logic that reasoning method is too simple to take full advantage of useful information, apply D-S theory to fuzzy reasoning.
该推理模型前级采用神经网络并行子网，用于目标的预分类，后级采用证据理论用于多周期的不确定性推理和概率的全局分配。
The forestage of the fusion model completes target presort and its post-stage is used to multi-period uncertainty inference and the whole set distribution of probability.
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.
证据理论是一种处理不确定性方法，该理论基于专家的知识和经验进行推理，适用于存在主观不确定因素的决策。
Evidence theory is a method for uncertainty. It can depend on experts' opinion for reasoning, suitable for decision of subjective uncertainty.
证据理论是一种处理不确定性方法，该理论基于专家的知识和经验进行推理，适用于存在主观不确定因素的决策。
Evidence theory is a method for uncertainty. It can depend on experts' opinion for reasoning, suitable for decision of subjective uncertainty.
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