Evidential reasoning theory becomes one of the effective methods to study the intelligent decision in situation with uncertainty.
证据推理理论是研究在不确定情况下智能决策的有效方法之一。
This paper proposes a method for large group decision making with multi-attribute and multi-identifier based on evidential reasoning.
针对多指标多标度大群体决策问题，提出了一种基于证据推理的决策方法。
At the end, it is demonstrated that evidential reasoning has extensive applications in the classification of remote sensing images through the fusion analysis of ERS SAR and TM image.
最后通过利用ERSSAR数据和TM影像进行融合分析，证明该方法在遥感图像自动分类中有很好的应用前景。
In order to better estimate the fault diagnosis of the hydraulic turbine governing system, the D-S evidential reasoning is used for data fusion with the result of different neural networks.
为了更好地进行水轮机调速器的故障诊断，利用D - S证据推理对不同的神经网络技术得出的结果进行数据融合。
In probable or moral reasoning when we reason, uh from past experience according to Locke we see evidential connections but there are only probable connections not uh, demonstrative ones.
当我们推理概率或者道德推理的时候，根据洛克的理论我们从过去的经验中发现证据推理的契合，但那只是概率的连接并不是演示的契合。
In probable or moral reasoning when we reason, uh from past experience according to Locke we see evidential connections but there are only probable connections not uh, demonstrative ones.
当我们推理概率或者道德推理的时候，根据洛克的理论我们从过去的经验中发现证据推理的契合，但那只是概率的连接并不是演示的契合。
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