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模糊c-均值算法是模糊聚类
- 模糊c-均值算法是模糊聚类中最常见、应用最广泛的分析方法之一．经典FCM算法理论和应用的研究已经相当成熟，Bezdek业已证明算法的收敛性［6］，许多软件提供了多种方便的FCM工具箱(如Matlab中FCM工具箱等)．但是传统FCM算法处理的是普通数据集，不能直接处理区间数，得到的聚类原型也不是区间数．针对区间数，一种直觉的方法是分别对左区间值和右区间值作FCM，并把得到的聚类原型分别作为区间型聚类原型的左右区间值，但这种方法已经被证明是行不通的［6］-fuzzy c-means cluster
INTERVAL
- 2型区间模糊集程序 matlab源码对大家有用INTERVAL T2 NS MAMDA T2 FLS-Type 2 interval fuzzy sets procedures for U.S. matlab source of useful INTERVAL T2 NS MAMDA T2 FLS
fuzzy_program
- 本文在学习模糊控制时做的几个模糊控制器，只要导入工作区间就可以运行-In this paper, fuzzy control, learning to do a few fuzzy controller, as long as you can into the work of interval running
GeneralType-2FLSs
- 区间类型2模糊逻辑函数，对于学习Type-2不错的源码-Interval Type-2 fuzzy logic function, for study and Type-2 a good source
fcs_tanker
- Fuzzy Control System for a Tanker Ship This program simulates a fuzzy control system for a tanker ship. It has a fuzzy controller with two inputs, the error in the ship heading (e) and the change in that error (c). The output of the fuzzy controlle
formula
- 模糊值函数在模糊数积分区间_上的NL公式Number of fuzzy-valued fuzzy integral function on the interval _ NL formula-Number of fuzzy-valued fuzzy integral function on the interval _ NL formula
ations
- 区间值模糊概率集及其在模式识别中的应用applications-Interval-valued fuzzy sets and probability in pattern recognition applications
qujianISODATA
- 区间模糊ISODATA动态聚类算法 区间模糊ISODATA动态聚类算法-Interval fuzzy ISODATA dynamic clustering algorithm
11q2
- 含裂纹结构的区间B样条小波模糊有限元分析.-Cracked structure interval B spline wavelet fuzzy finite element analysis.
fuzzyintervalneuralnetwork
- 讲述区间模糊神经网络的基本原理、实现算法、计算过程及其应用的几篇文献-fuzzy interval neural network
d4ef13.ZIP
- 逆变式等离子切割电源变间距模糊_PI控制Inverted plasma cutting power supply _ variable interval fuzzy PI control-Inverted plasma cutting power supply _ variable interval fuzzy PI control
science(1)
- In this paper we propose an entropy measure for interval-valued intuitionistic fuzzy sets, which generalizes three entropy measures defined independently by Szmidt, Wang and Huang, for intuitionistic fuzzy sets.
266
- This paper shows a proposal for Type-reduction of an Interval Type-2 fuzzy set composed from α-cuts done over its primary membership functions. The defi nition of available Type-reduction methods for Interval Type-2 fuzzy sets are based
matlab
- 证据理论中区间模糊matlab实现，用于决策推理-Interval fuzzy evidence theory matlab achieve for decision-making reasoning
ITERV2FUZZYLS
- This tutorial illustrates the basic ideas of interval type-2 (IT2) fuzzy sets and systems, and provides a Matlab implementation of IT2 fuzzy logic system (FLS). One obstacle in learning IT2 fuzzy logic is its complex notations. In this tutorial w
NWA-Folder
- This folder contains Matlab functions for the Enhanced Interval Approach (EIA) in: Simon Coupland, J. M endel and Dongrui Wu, “Enhanced Interval Approach for Encoding Words into Interval Type-2 Fuzzy Sets and Convergence of the Word FOUs,” IEE
fuzzy-type-2
- Fuzzy logic systems (FLSs) usually employ type-1 fuzzy sets and represent uncertainty by numbers in the range [0,1] which are referred to as degrees of membership. Type-2 fuzzy sets are an extension of type-1 fuzzy sets with an additional dim
Interval-Type-2-FLSs
- 经典的二型模糊逻辑系统学习资料，来自于mandle学习二型模糊逻辑系统必备的程序开发包-basic Software for learning type-2 fuzzy system
Interval-Type-2-Relative-Entropy
- 区间二型模糊聚类算法，给出了利用区间二型模糊熵改进FCM算法的思路和方法-Interval type-2 fuzzy clustering algorithm, gives the ideas and methods of interval type-2 fuzzy entropy Improved FCM Algorithm
fuzzy c-means
- 基于fuzzy c-means（FCM）的无监督模糊聚类算法，输出值有：各个样本的类别标签、目标函数在每次迭代后的值、聚类中心以及聚类区间。内有测试数据data.mat，点击 test.m 可以完美运行。(The unsupervised fuzzy clustering algorithm based on fuzzy c-means (FCM) outputs the class labels of each sample, the value of the target function