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。
By using fuzzy random variable theory and fuzzy set theory, the concept and its calculation method of fuzzy random characteristic quantity of safety grade are put forward.
分别运用模糊随机变量理论和模糊集理论而提出了安全等级模糊随机特征量和安全等级模糊特征量的概念及其计算方法。
Based on the conception of opposed fuzzy set, the variable fuzzy decision-making model and corresponding method are proposed.
首先建立可变模糊决策(优选)理论，提出以对立模糊集概念为基础的可变模糊决策模型与方法。
Then, the mistake classification rate between two fuzzy sets is defined. Later, fuzzy variable precision rough set model is proposed based on the two definitions.
另一方面提出了在一定错分率存在的条件下的模糊集合间的相对错分率，之后结合这两个理论给出了基于模糊邻域算子的模糊变精度粗糙集模型。
Both characteristic quantity of safety grade and its variable are the value obtained from the fuzzy sub-set of safety grade on domain, and are not a definite point.
安全等级特征量及安全等级变量，均为安全等级取值论域上的模糊子集，而并非是一个确定的点。
Both characteristic quantity of safety grade and its variable are the value obtained from the fuzzy sub-set of safety grade on domain, and are not a definite point.
安全等级特征量及安全等级变量，均为安全等级取值论域上的模糊子集，而并非是一个确定的点。
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