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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
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
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
INTERVAL-SINGLETON-MAMDA-T2-FLS
- this set of codes for fuzzy logic INTERVAL SINGLETON MAMDANI T2 FLS computation-this is set of codes for fuzzy logic INTERVAL SINGLETON MAMDANI T2 FLS computation
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
IT2-fuzzy-expert-system-for-prediction-of-carbon-
- This paper presents an indirect approach to interval type-2 fuzzy logic system modeling to forecaste the level of air pollutants. The type-2 fuzzy logic system permits us to model the uncertainties among rules and the parameters related to data analy
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
A-Brief-Tutorial-on-Interval-Type-2-Fuzzy-Sets-an
- Designing Practical Interval Type-2 Fuzzy Logic Systems Made Simple
Interval-Type-2-Fuzzy-Systems
- Interval Type-2 Fuzzy Systems Trained by Hybrid Heuristic Algorithm for Stock Exchange of Thailand
Interval-Type-2-Fuzzy-Logic-Toolbox
- This paper presents the development and design of a graphical user interface and a command line programming toolbox for construction, edition and observation of Interval Type-2 Fuzzy Inference Systems. The Interval Type-2 Fuzzy Logic System Toolbox (
fuzzy-1-and-2-
- Toolbox for Interval Type-2 Fuzzy Logic Systems Type-2 systems has been becoming the focus of research in the field of fuzzy logic in recent years Comparing with type-1 systems, type-2 fuzzy systems are more complex and relatively more difficult to u
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
c72e5dd2127eecc688cd6c5d0299e28b3ab1
- This paper focuses on the design of a novel control approach. Its contribution to the existing literature is that in the design of an interval type-2 fuzzy neural system, recursive fuzzy c-means clustering algorithm is used and the designed algorithm
Interval Type 2 Fuzzy Controller、simple implementation
- Here we present a simple method of implementing interval type-2 fuzzy logic controllers (IT2-FLCs) in MATLAB. The method is based on simplifying the representation of the IT2-FL inference mechanism.