但是，模糊模式识别评价方法采取的是计算相对隶属度，省去了确定绝对隶属函数的大量繁杂工作，并且在一定程度上消除了主观因素的影响。
But the fuzzy pattern recognition method is more practicable and can save a lot of work in defining membership functions and, to a certain extent, eliminate the influence of subjectivity.
文中采用计算机自适应的最小二乘优化方法实现模糊诊断系统隶属度函数的机器自学习功能。
The least square method of computer adaptation is applied to complete the function of computer self-learning of membership function in fuzzy diagnosis system.
应用管理学和运筹学知识和采用模糊推理中隶属度函数的思想，分别试探性地提出了两种自主武器选择方法：基本流程法和隶属度函数法。
Application of the Management and Operations Research, adoption of the idea of MF in Fuzzy Inference, we have put forward two kinds of method: Basic flow method and MF method respectively.
在建模的过程中将动态隶属度函数引入模糊预测推理方法，形成动态隶属度矩阵。
In the course of modeling, dynamic membership function is used in the fuzzy interval prediction, forming the matrix of dynamic membership function.
模糊逻辑系统的区域分割学习方法采用规则前件为不对称高斯型隶属度函数的模糊逻辑系统。
Fuzzy rule region-split method adopts the fuzzy system whose antecedents take the asymmetric Gauss function as membership function.
本文提出了以信任度、可能性测度、权重有隶属函数概念作为模糊相似性匹配的基础来检索图像的方法。
In this paper, we put forward the concept of belief measure, possible measure, membership function and weight as the base of fuzzy similarity match, with these functions we can retrieve images.
引入了模糊熵的方法来评价图像的增强效果，并对提出的正弦隶属度函数及广义模糊增强算子的特性进行了分析。
Fuzzy entropy is introduced to evaluate the enhancement effects and the characteristic of the sine membership function and generalized fuzzy enhancement operator is analyzed.
比较法是模糊数学中隶属度函数的确定方法之一。
The paired comparison principle is one of the determining methods in fuzzy mathematics.
模糊离散事件系统仿真方法系指这类系统的仿真实现技术，目的在于估计系统输出性能指标的隶属度函数。
The first part deals with the simulation execution of such systems, with the aim at estimating the membership function of the output performance measures.
采用模糊综合评估方法，构造了地下空间资源质量评估指标的隶属函数，并确定了隶属度，建立了权重向量与模糊关系矩阵复合运算的模糊综合评估模型。
Based on fuzzy synthesis evaluation, the membership function of each index for underground space resource quality evaluation was constructed, and the degree of membership was determined.
该方法不仅考虑了样本点到类中心的距离，而且还考虑了样本间的密切度，结合这两种思想在特征空间中构造了一种新的基于动态核函数的模糊隶属度。
The fuzzy membership is defined not merely by the distance between a point and its class center, but also by two different points of the sample, which is depicted as the affinity between them.
该方法不仅考虑了样本点到类中心的距离，而且还考虑了样本间的密切度，结合这两种思想在特征空间中构造了一种新的基于动态核函数的模糊隶属度。
The fuzzy membership is defined not merely by the distance between a point and its class center, but also by two different points of the sample, which is depicted as the affinity between them.
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