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 precision of fuzzy logic control depends on several parameters, such as fuzzy membership functions and fuzzy relation matrix.
模糊控制的精度取决于有关参数，如隶属函数、模糊关系矩阵。
The multiobjective and design variables with fuzzy features are considered in this paper. Their fuzzy membership functions are formed in fitness patterns.
考虑结构设计变量和多阶固有频率优化目标都具有模糊性，以适当方式形成了它们各自的隶属函数。
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