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。
The uncertainty problem of knowledge is solved by using the forward-backward inference control strategy and the certainty theory.
采用正反向混合推理控制策略及确定性理论来处理知识的不确定性问题。
Because environments usually have uncertainty information, the research of uncertainty knowledge presentation and inference is very provided with practice.
一个机器人关于它的任务和环境常常只有不确定的信息，所以研究不确定性知识表达和推理很具有现实意义。
Bayesian learning Theory represents uncertainty with probability and learning and inference are realized by probabilistic rules.
贝叶斯学习理论使用概率去表示所有形式的不确定性，通过概率规则来实现学习和推理过程。
How to use Bayesian network to solve this kind of mixed uncertainty knowledge inference has become a research hotspot.
如何应用贝叶斯网络解决这一类混合不确定性的知识推理问题已成为研究热点。
In implementing of the system, database technique and C-F model are combined to design knowledge base. The uncertainty problem is solved by using the forward-backward inference control strategy.
在系统实现中，采用基于关系型数据库和C -F模型进行知识库的设计，用正反向混合推理控制策略进行不确定性推理。
In implementing of the system, database technique and C-F model are combined to design knowledge base. The uncertainty problem is solved by using the forward-backward inference control strategy.
在系统实现中，采用基于关系型数据库和C -F模型进行知识库的设计，用正反向混合推理控制策略进行不确定性推理。
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