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.
给出一种新的信息融合方法——基于不确定性度量的团队一致法。
This paper presented a nwe method of information fusion: the group consensus approach based on measure of uncertainty.
特征子集的不确定性系数是一种单调的特征子集信息度量，因此可以将它作为特征选择度量。
The uncertainty coefficient is an information measure for a feature subset, and it is monotonic, so it can be taken as the feature selection measure.
组合熵与组合粒度是一种新的度量信息系统不确定性的有效方法。
Combination entropy and combination granulation are a new kind of methods for measuring the uncertainty of an information system.
改进与推广了模糊信息的熵度量方法，探讨了用信息熵理论来研究既含有模糊性又含有随机性的不确定现象，从而得到了混合熵。
The paper also extends the method of fuzzy information measured by entropy, explores a uncertainty phenomenon including random as well as fuzzy, which infers compound entropy.
通过引入4-值认知结构刻画不确定性，提供了更强的度量能力和更高的推理效率，同时支持相关不确定信息的有效获取，从而更加接近实际应用的需要。
The 4-valued recognition structure is used to measure the uncertain degree of uncertain information and thus more powerful expressive capacity is attained.
本文在信息的不确定性基础上提出了可拓信息的度量和可拓信息空间化简算法。
In this paper, we put forward extension information content and an algorithm for simplifying the extensive information space.
本文在信息的不确定性基础上提出了可拓信息的度量和可拓信息空间化简算法。
In this paper, we put forward extension information content and an algorithm for simplifying the extensive information space.
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