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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
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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
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Type-2 Fuzzy Logic Toolbox, 土耳其教授MUZEYYEN BULUT OZEK编写的。做simulink仿真有用。-Type-2 Fuzzy Logic Toolbox by Prof. MUZEYYEN BULUT OZEK
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A Book about Type-2 Fuzzy Logic in Intelligent Control Applications
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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
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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
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general type 2 fuzzy logic matlab
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Designing Practical Interval Type-2 Fuzzy Logic Systems Made Simple
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Type-2 Fuzzy Logic for Edge Detection of Gray Scale Images
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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 (
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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
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fuzzy logic image enhacement it s an advanced codes to enhance images using type 2 fuzzy logic and intuitionistic fuzzy sets
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fuzzy logic type toolbox
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Fuzzy Type-2 & Fuzzy Logic Systems - Fuzzy
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Toolbox for Fuzzy logic type-2 and type-1
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fuzzy logic source for matlab. Wich used mamdani algorithm
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this toolbox designed for type 2 fuzzy logic systems
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模糊二型,在matlab中的使用，附有说明论文 和例子(Fuzzy type 2, used in matlab, with explanatory papers and examples)
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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.
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