Results 241 to 250 of about 179,771 (295)

Fuzzy functional analysis (I): Basic concepts

Fuzzy Sets and Systems, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Buckley, J. J., Yan, Aimin
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Functional fuzzy clusterwise regression analysis

Advances in Data Analysis and Classification, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tan, Tianyu, Suk, Hye Won, Hwang, Heungsun, Lim, Jooseop   +3 more
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Fuzzy functions analysis

1977 IEEE Conference on Decision and Control including the 16th Symposium on Adaptive Processes and A Special Symposium on Fuzzy Set Theory and Applications, 1977
System design consists of system analysis and system synthesis. In this paper, the fuzzy Web Grammar will be applied to both system analysis and synthesis so that a consistent, overall system design can be performed in a more rigorous manner. It is intended that a simulation will be run to apply the suggested approach to a real problem.
Akira Ishikawa, Hiroshi Mieno, Shinichi Koike   +2 more
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Fuzzy clustering analysis for optimizing fuzzy membership functions

Fuzzy Sets and Systems, 1999
Fuzzy 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, 2003
Function 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, Pedro Porfírio Muniz Farias, Arnaldo Dias Belchior   +2 more
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TSK Fuzzy Function Approximators: Design and Accuracy Analysis

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2012
Fuzzy 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, M Sami, Fadali, Saeed, Jafarzadeh   +2 more
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Analysis of function duplicating capabilities of fuzzy controllers

Fuzzy Sets and Systems, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lee, Jihong, Chae, Seog
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Fuzzy cluster analysis of high-field functional MRI data

Artificial Intelligence in Medicine, 2003
Functional magnetic resonance imaging (fMRI) based on blood-oxygen level dependent (BOLD) contrast today is an established brain research method and quickly gains acceptance for complementary clinical diagnosis. However, neither the basic mechanisms like coupling between neuronal activation and haemodynamic response are known exactly, nor can the ...
Windischberger, C, Barth, M, Lamm, C, Schroeder, L, Bauer, H, Gur, RC, Moser, E   +6 more
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Membership-function-dependent stability analysis of fuzzy-model-based control systems using fuzzy Lyapunov functions

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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