Description: 性指标的价值函数达到最小。FCM与HCM的主要区别在于FCM用模糊划分，使得每个给定数据点用值在0，1间的隶属度来确定其属于各个组的程度。与-indicators of the value of minimizing function. HCM FCM with the main difference is fuzzy FCM, broken down to make each set of data points with the value 0, one of the membership to determine its belong to the group level. And Platform: |
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Author:123 |
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Description: 熟悉三角形模糊数、中心及隶属函数表达式的概念。了解特征映射算法及统计中的 统计量的概念。利用聚类迭代算法建立 个三角形形式的隶属函数
-Familiar with the triangular fuzzy number, membership function centers and the concept of expression. Understand the feature mapping algorithm and statistics of the concept of statistics. Iterative use of clustering algorithms to establish a triangular form of membership function Platform: |
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Author:David |
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Description: 模糊神经网络的方仿真与功能实现，以及模糊隶属寒舍的设置-Fuzzy neural network simulation and functional side realize, as well as the fuzzy membership settings my house Platform: |
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Author:郑翠翠 |
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Description: 为了提高三级倒立摆系统控制的响应速度和稳定性,在设计Mamdani 型模糊推理规则控制器控制倒立摆系统稳定的基础上,
设计了一种更有效率的基于Sugeno 型模糊推理规则的模糊神经网络控制器。该控制器使用BP 神经网络和最小二乘法的混
合算法进行参数训练,能够准确归纳输入输出量的模糊隶属度函数和模糊逻辑规则。通过与Mamdani 型控制器的仿真对比,
表明该Sugeno 型模糊神经网络控制器对三级倒立摆系统的控制具有良好的稳定性和快速性,以及较高的控制精度。-In order to improve the three-level control of inverted pendulum system response speed and stability, in the design of Mamdani-type fuzzy inference rules of the system controller to control the stability of inverted pendulum on the basis of a more efficient design based on Sugeno-type fuzzy inference rules of fuzzy neural network controller. The controller is the use of BP neural network and hybrid least squares training algorithm parameters can be accurately summed up the amount of input and output fuzzy membership function and fuzzy logic rules. Mamdani-type controller with a simulation comparison shows that the Sugeno-type fuzzy neural network controller for the three-tier control of inverted pendulum system with good stability and fast, as well as a higher control precision. Platform: |
Size: 551936 |
Author:月到风来AA |
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Description:
本文在分析城市交通信号控制研究现状和交叉口交通信号控制原理、评价方
法的基础上，设计了单交叉口交通信号两级模糊控制系统。分级模糊控制能有效
减少模糊规则数，易于提取模糊规则，适合于交通状况复杂的城市交叉口交通信
号控制。但它存在难以由人工合理定义全部模糊隶属度函数的问题。为此本文进
一步采用遗传算法对两级模糊控制器中模糊隶属度函数进行优化。本文提出的方
法具有分级模糊控制的优点，同时可以使模糊隶属度的选取更为合理，获得更好
的控制效果。对一个四相位单交叉口，利用MATLAB在不同的交通条件下进行
了仿真，并利用交通仿真软件PARAMICS进行了可视化仿真。仿真结果表明该
方法能有效降低通行车辆在交叉口的平均等待时间，明显优于传统控制方法-After analyzing the city-traffic developments,the grade crossings control theory
its method of evaluation,the paper designs a traffic signal two-stage fuzzy control
tem for single intersection.Two-stage fuzzy controller,which is easy to acquire
zy rules and can greatly decrease the number of fuzzy rules,is very suitable to
plex urban intersection control.But it still presents a difficulty for deciding all the
bership functions correctly only by human experience.Therefor,to solve this
blem,a technique using genetic algorithm to modify its fuzzy membership
ctions is proposed.This method not only possesses the advantages of hierarchical
zy control,but also can change its membership functions adaptively to an optimal
ing in different traffic situations as well,and in this way the currency power of the
an intersection is improved.For a single urban intersection with four-phase,
ulation of different traffic condition is processed by using MATLAB.Moreover,
ble simulation is proce Platform: |
Size: 312320 |
Author:刚子 |
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Description: This program will assist the user to visualize the foot print of type2 fuzzy membership functions in 3 dimensional mode. Platform: |
Size: 1024 |
Author:hacen |
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Description: 在MATLAB编程环境下进行模糊神经网络的方针程序，对参考输入进行前件选择，确定合适的模糊语言值核隶属度，然后进行合理的模糊推理确定后件参数。-In the MATLAB programming environment for fuzzy neural network approach procedure prior to the reference input to selection, to determine the appropriate value of core membership of fuzzy language, then a reasonable inference to determine consequent parameters of fuzzy. Platform: |
Size: 2048 |
Author:zhanghao |
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Description: 本文利用模糊理论中的高斯隶属
度函数来获得模糊观测下具有概率特性的似然函数，并且由此似然函数得到每个传感器提供信息的可信度；再将各传感器的可
信度转化成基本概率赋值函数即mass 函数；最后利用证据理论对多传感器信息进行融合。对目标识别的仿真试验表明该方法获
得的结果比直接结果具有更高的精度和可靠性。-The method uses fuzzy theory in the Gaussian
fuzzy membership function to obtain a probable characteristic under observation likelihood function，and the resulting likelihood
function gets the credibility of the information provided by the sensors.Then the reliability of each sensor is changed
to a mass function.Finally，multi-sensor information is combined by using evidence theory.Simulation of target recognition
shows that the results obtained have higher accuracy and reliability. Platform: |
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Author:coral |
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Description: 第一章介绍模糊集合的基本概念、建立模糊集合隶属度函数的基本方法以及Matlab模糊工具箱中的函数的应用。第二章判别分析方法包括距离判别、模糊集合的贴近度判别以及最大隶属原则。第三章在模糊矩阵概念的基础上，给出了模糊聚类的基本方法以及模糊C均值聚类的Matlab实现。第四章模糊综合评价，建立了客观性权向量、模糊矩阵的综合评价方法。第五章层次分析法介绍了模糊层次分析的建模方法与应用。第六章在普通线性规划的基础上，引入模糊线性规划、多目标规划的模糊最优解以及模糊线性规划在经济中的应用实例。
本书主要对象是财经类院校本科生，可以作为数学建模第二课堂的辅导教材，也可供硕士研究生以及科技工作者参考。-The first chapter introduces the basic concepts of fuzzy sets, fuzzy set membership function to establish the basic methods and functions in the Matlab fuzzy toolbox application. Chapter sub-discriminant analysis, including distance
Do not, determine closeness of fuzzy sets and the maximum membership principle. The third chapter in the fuzzy matrix based on the concept, given the basic methods of fuzzy clustering and fuzzy C means clustering of the Matlab implementation. S
Fuzzy comprehensive evaluation of four chapters, the establishment of the objectivity of the weight vector, fuzzy comprehensive evaluation matrix. Chapter V describes the fuzzy AHP AHP modeling methods and applications. Chapter VI in the general linear
Planning based on fuzzy linear programming, multiobjective programming and fuzzy optimal solution of fuzzy linear programming application example in the economy.
This book is the main target of Financial College undergraduates, mathematical modeling can be used Platform: |
Size: 4156416 |
Author:foxway |
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Description: Fuzzy Auto PID Tuning for DC Motor The Fuzzy system needs 2 inputs e(t) & de(t) and it will get three outputs for tuning the PID gains (KP), (KI) & (KD) depending on the membership functions -Fuzzy Auto PID Tuning for DC Motor The Fuzzy system needs 2 inputs e(t) & de(t) and it will get three outputs for tuning the PID gains (KP), (KI) & (KD) depending on the membership functions Platform: |
Size: 370688 |
Author:Ahmed |
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Description: 提出了一种基于小波变换和模糊集的图像融合算法.其基本思想是: 首先对图像进行小波变换,获得图
像的低频和高频分量 随后在融合过程中, 对低频和高频分量采取不同的融合策略, 即对低频分量采用平均能
量法进行融合,对高频成分利用图像的模糊集, 寻求一个模糊隶属函数作为融合算子进行融合 最后再对融合
后的图像进行小波反变换,重构出融合后的图像.实验结果证明了方法的有效性.-Proposed image fusion algorithm based on wavelet transform and fuzzy sets. The basic idea is: First the image wavelet transform to obtain the low and high frequency components of the image followed by low and high frequency components in the fusion process to take a different the integration of strategy, integration of the low frequency components using the average energy method, the use of high frequency components of the image fuzzy sets, look for a fuzzy membership function as a fusion operator for fusion image fusion wavelet transform and re- structure of fused images. experimental results demonstrate the effectiveness of the method. Platform: |
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Author:张凡 |
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Description: 在MATLAB下实现模糊综合评价，有GUI用户界面，例子为打分系统，为初学者提供帮助。
简介：模糊综合评价法是一种基于模糊数学的综合评标方法。该综合评价法根据模糊数学的隶属度理论把定性评价转化为定量评价，即用模糊数学对受到多种因素制约的事物或对象做出一个总体的评价。它具有结果清晰，系统性强的特点，能较好地解决模糊的、难以量化的问题，适合各种非确定性问题的解决。-Achieved in MATLAB comprehensive uation, there are GUI user interface, examples of scoring system, for beginners to help. Profile: fuzzy comprehensive uation is a comprehensive uation method based on fuzzy mathematics. The comprehensive uation method based on the theory of fuzzy membership of the qualitative uation into quantitative uation, which uses fuzzy mathematics by a variety of factors thing or object to make an overall uation. It has a clear result, systematic and strong features, it can solve vague, difficult to quantify the problem, for solving the problem of non-deterministic. Platform: |
Size: 10240 |
Author: xs |
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Search - Fuzzy Membership