Description: a collection of M-files to study concepts in the following areas of Fuzzy-Set-Theory: Fuzzy or Multivalued Logic, The Calculus of Fuzzy, Quantities, Approximate Reasoning, Possibility Theory, Fuzzy Control, Neuro-Fuzzy Systems. Platform: |
Size: 160768 |
Author:陈西 |
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Description: FCMDEMO displays a GUI window to let you try out various parameters
in fuzzy c-means clustering for 2-D data. You can choose the data set
and clustering number from the GUI buttons at right, and then click
"Start" to start the fuzzy clustering process.-FCMDEMO GUI displays a window to let you try out various parameters in fuzzy c-means cluste ring for 2-D data. You can choose the data set and clustering number from the GUI buttons at right , and then click "Start" to start the fuzzy clus tering process. Platform: |
Size: 5120 |
Author: |
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Description: A new level set model without initialization, very time efficient compared with former level set model.-A new level set model without initializati on, very time efficient compared with former level set model. Platform: |
Size: 778240 |
Author:Maybe |
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Description: The neuro-fuzzy software for identification and data analysis has been implemented in the MATLAB language ver. 4.2.
The software trains a fuzzy architecture, inspired to Takagi-Sugeno approach, on the basis of a training set of N (single) output-(multi) input samples.
The returned model has the form
1) if input1 is A11 and input 2 is A12 then output =f1(input1,input2)
2) if input1 is A21 and input 2 is A22 then output =f2(input1,input2)
看不懂，据高手说，非常有用。-The neuro-fuzzy software for identification and data analysis has been implemented in the MATLAB language ver. 4.2. The software trains a fuzzy architecture, inspired to Takagi-Sugeno approach, on the basis of a training set of N (single) output-( multi) input samples.The returned model has the form1) if input1 is A11 and input 2 is A12 then output = f1 (input1, input2) 2) if input1 is A21 and input 2 is A22 then output = f2 (input1, input2) can not read, according to experts said that very useful. Platform: |
Size: 51200 |
Author:beyonddoor |
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Description: 模糊集合理论的matlab程序,运算时间短,程序简单-Fuzzy set theory the matlab procedure, computing time is short, simple procedures Platform: |
Size: 1024 |
Author:小伟 |
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Description: 一被控对象 ，给定为阶跃给定，幅值为500，设计一个两维模糊PI型控制器，输入语言变量和输出语言变量均取7个值{NB，NM，NS，ZE，PS，PM，PB}，模糊论域为{-6，-5，-4，-3，-2，-1，0，1，2，3，4，5，6}，用matlab编程仿真研究。-Charged with one object, to set at a given step, the amplitude for the 500, the design of a two-dimensional fuzzy PI-type controller, input linguistic variables and output linguistic variables are taken seven values (NB, NM, NS, ZE, PS , PM, PB), fuzzy domain for (-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6), Simulation programming with matlab . Platform: |
Size: 7168 |
Author:崔艳 |
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Description: AFS （Axiomatic Fuzzy Set)理论，我们老师与澳大利亚的一个教授合写的，可可以说这个理论是他们原创的，一经发表了好几篇ＳＣＩ论文，文章里面有ｍａｔｌａｂ 的代码！-In this paper, we introduce the basic ideas and the results of AFS (Axiomatic Fuzzy Set) theory with some simple illustrative examples. All operations and the calculations for AFS theory could be implemented by the Matlab programs and functions whose applied methods are explained and original codes are listed in the Appendix. Platform: |
Size: 245760 |
Author:齐小伟 |
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Description: matlab实现ADALINE神经网络和感知器神经网络学习训练及应用-matlab neural network realization of ADALINE neural network learning and perception, training and application of Platform: |
Size: 1024 |
Author:June |
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Description: These set of programs are written to design a robust power system stabilizer for minimizing the effects of low frequency oscillations in electric power systems. A complete nonlinear model of the power system represented by a single machine connected to an infinite bus is developed in the Simulink environment. A fuzzy Power System Stabilizer is designed using the fuzzy logic toolbox of matlab and its parameters are tuned by a NEural Network controller. Platform: |
Size: 15360 |
Author:al-amin |
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Description: 粗糙集代码
data reduction with fuzzy rough sets or fuzzy mutual information
fuzzy preference rough set based feature evaluation and selection
-Rough code data reduction with fuzzy rough sets or fuzzy mutual information fuzzy preference rough set based feature evaluation and selection Platform: |
Size: 38912 |
Author:gq |
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Description: The aim of this book is to furnish some theoretical concepts and to
sketch a general framework for computational intelligence paradigms
such as artificial neural networks, fuzzy systems, evolutionary computation,
genetic algorithms, genetic programming, and swarm intelligence.
The book includes a large number of intelligent computing methodologies
and algorithms employed in computational intelligence research. The
book also offers a set of solved programming examples related to computational
intelligence paradigms using MATLAB software. Additionally,
such examples can be repeated under the same conditions, using different
data sets. Researchers, academicians, and students in computational intelligence can use this book to verify their ideas related to evolution dynamics,
self-organization, natural and artificial morphogenesis, emergent
collective behaviors, swarm intelligence, evolutionary strategies, genetic
programming, and evolution of social behaviors. Platform: |
Size: 6013952 |
Author:Umar |
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Description: 这是有关模糊集的知识，里面有一些MATLAB仿真代码，希望对大家有帮助-This is the fuzzy set of knowledge, there are a number of MATLAB simulation code, we want to help Platform: |
Size: 19456 |
Author:xiaolin |
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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: 模糊综合评判方法即将评价目标看成是由多种因素组成的模糊集合（称为因素集u），再设定这些因素所能选取的评审等级，组成评语的模糊集合（称为评判集v），分别求出各单一因素对各个评审等级的归属程度（称为模糊矩阵），然后根据各个因素在评价目标中的权重分配，通过计算（称为模糊矩阵合成），求出评价的定量解值。它是应用模糊变换原理和最大隶属度原则，对各因素作综合评价的。-The fuzzy comprehensive evaluation method is about evaluation goal as a fuzzy set by a variety of factors (called factor set u) set the assessment level of these factors can be selected to form the fuzzy set of reviews (called evaluation set v) were calculated the level of the individual assessment of each single factor attribution the quantitative solution value (called a fuzzy matrix), then the weight distribution according to various factors in the evaluation objectives, by calculating (called fuzzy matrix synthesis), obtained evaluation . It is the application of fuzzy transform principle and the principle of maximum degree of membership for a comprehensive evaluation of various factors. Platform: |
Size: 13312 |
Author:liangjq |
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Description: 模糊控制的课件，包括
第1次课－模糊控制绪论
第2次课－模糊集合及其运算
第3次课-模糊蕴涵关系
第4次课-基于控制规则库的模糊推理
第5次课-模糊控制的基本原理与设计
第6次课－离散状态下模糊控制器设计与计算实例
第7次课－Matlab仿真与在锅炉燃烧系统中的应用实例
第8次课－自适应模糊控制
模糊控制补充内容
模糊控制器设计与计算实例与MATLAB仿真
fuzzy实验程序
总共十一个文件-Fuzzy control courseware, including
First lesson- Introduction to fuzzy control
The second lesson fuzzy set and its operation
The third lesson fuzzy implication relation
Fourth lesson- fuzzy reasoning based on control rule base
Fifth lesson- the basic principle and design of fuzzy control
The sixth lesson discrete state fuzzy controller design and calculation example
The seventh class Matlab simulation and application in boiler combustion system.
Eighth lesson adaptive fuzzy control
Fuzzy control supplement
Fuzzy controller design and calculation example and MATLAB simulation
Fuzzy experiment program
A total of eleven documents Platform: |
Size: 1302528 |
Author:柴狼 |
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Description: 根据模糊PID控制逻辑建立PID的三个输出参数的模糊控制逻辑fis文件(According to the fuzzy PID control logic, the fuzzy control logic FIS file of the three output parameters of PID is set up.) Platform: |
Size: 2048 |
Author:nine99
|
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Search - fuzzy set matlab