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This theory is used in uncertainty inference, intelligence computing, and colony intelligence analysis. The results accord closely with practice.
把该理论用于不确定性推理、智能计算、群体智能分析，思路清晰，算法简明，所得结果能较好地符合客观实际。
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.
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。
Their theory begins with the observation that decision making under uncertainty often results in erroneous inference, but some errors are more costly in their consequences than others.
他们的理论开始于这样一种观察，即，做决策时往往有"不确定性"，往往产生错误的推论，但有些错误的后果比另一些错误的后果的代价更高昂。
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