本文基于模糊数学理论，建立了水声图像的模糊特征矩阵，并采用正弦模糊分布函数对真实的水声图像进行了增强处理。
This paper defined the matrix of fuzzy characteristics of sonar images based on the theory of fuzzing mathematics, and enhanced the image by using the sine fuzzy function.
文章提出了基于特征空间的模糊隶属度函数模型。
In this paper, a novel fuzzy membership function model is presented based on the feature space.
同时，基于LF M信号的模糊域特征，提出了一种新的自适应核函数。
Then based on the features of ambiguity function of a LFM signal, a new adaptive kernel is proposed.
在分析和给出影响泄洪溅水量的主要特征因子及其隶属函数的基础上，由若干原观资料，建立了泄洪溅水特征因子的模糊关系矩阵。
Based on the analyses of main characteristic factors which affect the overflow spray-motion and their membership functions, the fuzzy relation matrix from the field data is established.
选取的隶属函数使神经网络权值有一定的知识表示意义，并通过模糊化层将输入特征量转化为模糊量。
The selected membership function made neural network weight values have definite knowledge meaning, and the input characteristic variables were translated into fuzzy variables by fuzzy layer.
提出了区域目标颜色与彩色纹理模糊测度，并将颜色与纹理信息进行融合，建立了敏感图像高维特征模糊测度函数。
By integrating the fuzzy measurements of region object color and texture characteristics, the fuzzy measurement function for high dimensional characteristic of the interesting image is established.
基于离散时频分布的信号识别方法，将时频核设计问题转化为以信号自模糊函数为原始特征的特征选择问题，以实现特征降维和信号识别。
Actually the kernel design in the recognition method based on discrete time - frequency representation is a problem of feature selection from the ambiguity functions to reduce feature dimension.
在系统实现中，采用隶属函数来反映故障对象特征的模糊性和模糊关系，基于关系数据库进行知识的模糊表达，实现基于规则的模糊推理。
In the implement of system, we use membership function to mirror faults fuzzy and fuzzy concern, relational database to describe knowledge and rules, and perform ruled-based inference.
采用故障特征函数描述模拟电路故障字典法中的模糊集，提出了节点故障隔离度和条件故障隔离度的概念，用其描述节点对故障的区分能力。
Eigenfunction is used to describe ambiguity sets for analog circuit diagnosis. Fault isolation and conditional fault isolation are proposed to identify isolation ability of test node.
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.
本文提出了一种基于模式类特征空间统计分布的模糊隶属度函数模型，可有效地反映模式在特征空间中的真实分布，用于模式分类器输入特征的模糊化可获取更好的识别性能。
In this paper a model of discrete fuzzy membership function based on statistical distribution of features of pattern is presented. It is used for the fuzziness of input features of classifier.
在确定的参数隶属函数基础上，推导了岩土样本力学参数模糊统计特征值的计算公式。
According to the membership function of parameters, the equations of fuzzy eigenvalue of sample parameters was deduced.
在确定的参数隶属函数基础上，推导了岩土样本力学参数模糊统计特征值的计算公式。
According to the membership function of parameters, the equations of fuzzy eigenvalue of sample parameters was deduced.
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