隶属度函数

基于隶属度函数的BP人工神经网络改进算法

An improved algorithm of BP ANN based on membership function

据此，本文采用了HSI颜色空间的隶属度函数来描述颜色。

Hereby , we adopt membership function in HSI color space to describe color .

针对液位控制系统，选取合适的隶属度函数和模糊PID控制规则，设计了模糊PID控制器。

Setting suitable membership function and design the fuzzy-PID control rule , and design the fuzzy-PID controller .

基于RBF神经网络的隶属度函数学习算法

Learning Algorithm of Membership Functions Based on RBF Neural Network

分析了模糊C均值算法，讨论了目标函数和隶属度函数的确定，同时还讨论了模糊神经网络，研究了输入、输出模糊化，网络参数的确定。

In this paper , the algorithm of FCM and fuzzy neural network are presented . Finally , we discuss the fuzzy input and output .

在Matlab环境下的仿真步骤包括：定义隶属度函数及模糊控制规则集、解模糊。

The simulation steps in the environment of Matlab include defining membership functions , establishing fuzzy control rules sets and defuzzification .

基于T-S模糊模型的隶属度函数学习算法

Learning algorithm of membership functions based on the T-S fuzzy model

基于模糊隶属度函数的ICA特征提取和识别

Feature extraction and recognition based on fuzzy ICA

基于绝对比较法的IFS非隶属度函数确定方法

Techniques for ascertaining nonmembership functions of intuitionistic fuzzy sets based on absolute contrasting method

在此基础上，提出了采用层次分析法（AHP）和模糊综合评判法对企业制造敏捷性进行评价的策略和相关算法，探讨了因素权值和模糊隶属度函数的确定方法。

A calculation model was established to evaluate manufacturing agility of enterprises based on the integration of analytical hierarchy process and fuzzy comprehensive evaluation method .

该文提出了一种优化离散形式的隶属度函数表的新方法：即用遗传算法优化模糊集合中的语气算子H，从而优化离散形式隶属函数表。

This paper proposes a new method to optimize the membership tables , which is to optimize the language operators of fuzzy sets by using genetic algorithm so as to optimize membership tables .

运用DS证据理论，可以减小因隶属度函数的不同而带来故障误判的可能性，从而更准确地判断故障原因。

The error of the membership degree of faults resulted from the difference of the membership degree function can be reduced by D-S evidence theory .

应用AHP建立了评价指标体系，并应用模糊数学中的隶属度函数和综合评价方法求出发电厂风险状况。

The assessment index system is set up by AHP and the risk in fire power plant is calculated by subjection function and comprehensive assessment method in fuzzy math .

针对这一问题，本文以Gauss函数为隶属度函数形式改进模糊聚类的C-平均法，提出了模糊CG-平均法，对一同组数据的聚类结果证明了此方法的有效性。

In order to overcome these difficulties , this article use Gauss function as membership function to improve the C-average method , a fuzzy clustering method .

采用MATLAB软件作为模型的仿真软件，通过该软件训练网络，从而确定输入数据模糊化的隶属度函数和网络的连接权系数（或模糊关系矩阵）。

The simulation tests of training fuzzy neural network expert system are implemented using MATLAB software . As a result , membership function and synaptic weight coefficient ( fuzzy relationship matrix ) are determined .

该方法首先通过基于模糊的KNN方法求出隶属度函数矩阵；

This method first calculated the degree matrix of membership using the fuzzy KNN method .

该T-S模糊神经网络基于样本的分布特性，自动确定变量语言值的隶属度函数，合理划分模糊空间。

Membership functions of linguistic values of variables are obtained automatically based on the distribution characteristics of samples . So the fuzzy space is partitioned reasonably .

C-R模糊模型中的局部模型参数和隶属度函数通过辨识算法得到。

The local models parameters and membership function are obtained by the identification methods .

在定量研究部分，论文将多层次模糊评价理论引入供应链柔性评价中，通过利用AHP方法，隶属度函数和模糊算子等数学工具，将以往对于供应链柔性的定性描述转化为定量的描述。

In the quantitative research , a fuzzy model mixed with AHP used in supply chain flexibility measurement is introduced . The last part of this paper is numerical example of the model .

用MATLAB语言对此模型进行了训练，确定了网络的连接权值和模糊隶属度函数，并对模型做了仿真，实验验证了所建故障诊断模型的正确性。

The model is trained by MATLAB software and the synaptic weight value and fuzzy membership function of the network are determined . The model is simulated using MATLAB software , and the correctness of the model is validated .

提出了FMS故障诊断与维修系统应采用肯定后件式的反向模糊推理形式。给出了一种模糊隶属度函数的计算方法，并解决了如何确定证据的不确定性测度问题。

The GMT fuzzy logic reasoning method employed by FMSFDMS was presented , and a way for determining the uncertainty measure membership function of the hypothesis finding was also discussed .

本论文结合确定不确定理论SPA集中联系数方法，探讨Vague集中真、假隶属度函数与SPA集联系数的内在联系及规律特征。

Combining with sure uncertain theory SPA concentrated contact number method , this paper discusses inner link and characteristics of the true and false vague concentration membership function and SPA sets connection number .

根据数据融合的原理，对雷达网数据融合问题提出了一种模糊神经网络模型，讨论了神经元感应场内模糊隶属度函数最大的WTA竞争机制和目标数据的重复融合问题。

Based on the basic principle of data fusion , a fuzzy neural network model for data fusion of radar net is presented .

该类模糊控制器的输入变量采用正规模糊集、三角形全交迭隶属度函数，规则后件采用PID表达式，其本质为一种非线性PID控制器。

The full-overlapped triangular normal subordinate function has been adopted as the input variable in the type fuzzy controller and the PID expressions is selected in the rule consequences . The TS-PID fuzzy controller is investigated to be a class of nonlinear PID controllers in essence .

高斯函数是被广泛应用的径向基函数，因此，调整的参数包括后件部分的连接权，以及前件部分的高斯隶属度函数的均值和方差，应用BP算法实现了这些参数的在线调整。

Gaussian function is widely used radial basis function , therefore , the adjustment parameters include the connection weights after the piece parts , and the antecedent part of the Gaussian membership function of the mean and variance , the application of BP algorithm to adjust these parameters online .

运用模糊数学中的隶属度函数能很好地表示找矿预测的相关信息，并借助模糊推理和模糊判断，给出了隐伏矿找矿预测的模糊综合评判（FCA）模型。

This paper uses fuzzy mathematics function to express relative information for seeking-deposit prediction , establishes fuzzy comprehensive appraisement ( FCA ) model of predicting deposit in virtue of fuzzy reasoning and fuzzy judgment .

基于支持向量机和递推最小二乘法，辨识出TSK模糊模型，并且通过遗传算法优化隶属度函数参数，最小化辨识误差。

The TSK fuzzy model is identified based on the SVM and the recursive least square method , and membership function parameters are optimized with the genetic algorithm so that identification error is minimized .

在分析了其相关理论的基础上，详细探讨两类及多类分类支持向量机，对一对余和一对一SVMs的优势与不足进行了剖析，引入模糊隶属度函数解决存在的算法缺陷。

Based on some related theories , the two-class and the multi-class classification are analyzed , particularly on the advantages and disadvantages of 1-v-r SVMs and 1-v-1 SVMs . Subsequently , a fuzzy membership function is introduced to solve the problems .

因此，通过T-S模糊模型，非线性系统可以由局部的线性模型按照模糊隶属度函数将其光滑连接形成，为非线性系统的分析、控制器的设计提供了大致的框架。

Thus , by T-S fuzzy model , nonlinear system can be made in accordance with the local linear model to form a smooth connection according to the fuzzy membership functions . Then , this method provides a general framework for the analysis of nonlinear system and controller design .

主要研究内容包括：1.针对BGA射线图像对比度低、边缘模糊等特点，研究了基于熵算子边缘检测的多级组合滤波算法和基于正弦隶属度函数的模糊增强算法。

The main contents include : 1 . We studied the algorithm of multi-level combined filter based on the edge detection of entropy operator and the fuzzy enhancement algorithm based on the sinusoidal membership function for the low contrast and fuzzy edge of BGA-ray images .