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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。
How to use Bayesian network to solve this kind of mixed uncertainty knowledge inference has become a research hotspot.
综合应用概率论和可信性理论对随机和可认知混合不确定性参数进行建模，提出了基于概率论和可信性理论的不确定性设计方法。
The method of the uncertainty design using probability theory and credibility theory have been presented, which provides us with a useful modeling tool for random and epistemic parameter uncertainty.
这些不确定性信息或是随机性的、或是模糊性的、或是复合不确定性，可分别用概率熵、模糊熵和混合熵来度量。
The uncertain information may be probable, or fuzzy, or have compound uncertainty, and can be measured respectively with probability entropy, fuzzy entropy and hybrid entropy.
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