Combined with Feature Value of Grades for results quantification, applying Variable Fuzzy Set model on assessment could overcome the unfitness of the maximum membership principle.
采用可变模糊集模型进行评价，以级别特征值方法量化评价结果，可有效解决最大隶属原则的不适应性。
The changing law of symptom value is analyzed and fuzzy normalization method based on fuzzy membership functions is built.
通过分析故障诊断征兆的变化规律，建立了基于模糊隶属函数的诊断征兆模糊化处理方案。
The probability of a fuzzy event is the average value of its grade of membership-Its entropy is the negative logarithm of probability.
模糊事件的概率就是它的平均隶属度。 模糊事件的熵就是它的概率的负对数。
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