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Fuzzy clustering analysis for optimizing fuzzy membership functions
Fuzzy Sets and Systems, 1999Fuzzy model identification is an application of fuzzy inference system for identifying unknown functions, for a given set of sampled data. The most important thing for fuzzy identification task is to decide the parameters of membership functions (MFs) used in fuzzy systems.
Mu-Song Chen, Shinn-Wen Wang
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Fuzzy Modeling for Function Points Analysis
Software Quality Journal, 2003Function Point Analysis (FPA) is a largely used technique to estimate the size of development project, enhancement project or applications already installed. During the point counting process that represents the dimension of a project or an application, each function is classified according to its relative functional complexity.
Osias de Souza Lima +2 more
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TSK Fuzzy Function Approximators: Design and Accuracy Analysis
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2012Fuzzy systems are excellent approximators of known functions or for the dynamic response of a physical system. We propose a new approach to approximate any known function by a Takagi-Sugeno-Kang fuzzy system with a guaranteed upper bound on the approximation error.
Assem H, Sonbol +2 more
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Analysis of function duplicating capabilities of fuzzy controllers
Fuzzy Sets and Systems, 1993zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lee, Jihong, Chae, Seog
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Information Sciences, 2013
This paper investigates the stability of fuzzy-model-based (FMB) control system, formed by a T–S fuzzy model and a fuzzy controller connected in a close loop, based on a fuzzy-Lyapunov function. A general FMB control system that the T–S fuzzy model and fuzzy controller not sharing the same premise membership functions and/or the same number of fuzzy ...
Lam, Hak Keung, Lauber, Jimmy
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This paper investigates the stability of fuzzy-model-based (FMB) control system, formed by a T–S fuzzy model and a fuzzy controller connected in a close loop, based on a fuzzy-Lyapunov function. A general FMB control system that the T–S fuzzy model and fuzzy controller not sharing the same premise membership functions and/or the same number of fuzzy ...
Lam, Hak Keung, Lauber, Jimmy
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Stability analysis of fuzzy multivariablesystems: Vector Lyapunov function approach
IEE Proceedings - Control Theory and Applications, 1997The paper describes a design methodology to analyze the stability of a class of nonlinear systems which can be described through a fuzzy dynamic model. The considered model is based on the decomposition of the state space region of the closed loop fuzzy system in \(N\) subregions with \(N\) interacting closed loop subystems. The stability conditions of
Cheng, C. M., Rees, N. W.
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Sensitivity analysis for image represented by fuzzy function
Soft Computing, 2018The standard image representation can be considered as obsolete in image processing area since it was designed mainly to visualize images and not to support image processing algorithms. For that reason, seeking alternative image representations becomes an important issue.
Petr Hurtik +2 more
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International Journal of Computational Methods, 2022
Uncertain structures may exhibit fuzzy uncertainty involving imprecise membership function (FuIMF). In this study, the uncertain parameters in FuIMF case are characterized as fuzzy variables, whereas the key parameters of their membership functions are treated as interval variables rather than exact values.
Lü, Hui +4 more
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Uncertain structures may exhibit fuzzy uncertainty involving imprecise membership function (FuIMF). In this study, the uncertain parameters in FuIMF case are characterized as fuzzy variables, whereas the key parameters of their membership functions are treated as interval variables rather than exact values.
Lü, Hui +4 more
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FUNCTIONAL ANALYSIS AND T-S FUZZY SYSTEM DESIGN
IFAC Proceedings Volumes, 2005This paper introduces the idea of viewing fuzzy modelling and fuzzy system design from a functional analysis perspective. Fuzzy transforms, which are based on the generalised Fourier transform in functional analysis, are proposed. It is demonstrated that, mathematically, a T-S fuzzy model is equivalent to a fuzzy transform.
D.T. Pham, R.X. Qiu
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Model-free functional MRI analysis using improved fuzzy cluster analysis techniques
SPIE Proceedings, 2004Conventional model-based or statistical analysis methods for functional MRI (fMRI) are easy to implement, and are effective in analyzing data with simple paradigms. However, they are not applicable in situations in which patterns of neural response are complicated and when fMRI response is unknown.
Oliver Lange +5 more
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