在模糊环境下，模糊扩张矩阵算法根据路径的最小模糊信息熵标准，从示例中归纳产生一组模糊规则。
Under fuzzy environment, the fuzzy extension matrix approach can generate a set of fuzzy rules from examples according to the minimum fuzzy entropy criterion of the path.
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.
借助模糊聚类技术和粗糙集理论提出了一个基于客观信息熵的多因素权重分配方法。
Using fuzzy aggregation theory and rough set theory, this article puts out a weight allocation method based on impersonal message entropy.
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