Results 271 to 280 of about 25,079 (311)
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Fuzzy Sets and Systems, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jiqing Qiu, Congxin Wu, Fachao Li 0001
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jiqing Qiu, Congxin Wu, Fachao Li 0001
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A neuro-fuzzy approach for functional genomics data interpretation and analysis
Neural Computing & Applications, 2003The paper is concerned about the application of neuro-fuzzy techniques for the functional analysis of gene expression data from microarray experiments. The objective of this paper is to learn and predict functional classes of the E. coli genes using neuro-fuzzy based techniques, such as modular neuro and neuro-fuzzy networks.
Daniel Neagu, Vasile Palade
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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 ...
Hak-Keung Lam, Jimmy Lauber
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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 ...
Hak-Keung Lam, Jimmy Lauber
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Analysis of systems with variable parametric uncertainty using fuzzy functions
1999 European Control Conference (ECC), 1999Fuzzy functions are used for the modelling and analysis of systems with variable parametric uncertainty. The approach consists of interpreting a fuzzy number as a family of intervals bounding the parameter space, parameterized by the degree of confidence (reliability) in the model.
Jorge Bondia, Jesús Picó
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Fuzzy cluster analysis of high-field functional MRI data
Artificial Intelligence in Medicine, 2003Functional 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 ...
Christian Windischberger +6 more
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Visual analysis and representations of type-2 fuzzy membership functions
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016This paper presents several pictorial and graphical techniques that may be used for effectively visualizing type-2 fuzzy membership functions (T2 FMFs). In our first proposed technique, two-dimensional data sets have been modeled using grayscale entropies to make the uncertainty interpretation easier. Next, the concept of a vertical drill and a primary
Desh Raj +3 more
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Dynamic fuzzy data analysis based on similarity between functions
Fuzzy Sets and Systems, 1999Abstract In data analysis, objects are usually represented by feature vectors, each describing a state of an object at a point of time. Most methods for data analysis use only these feature vectors and do not take into account changes over time. They can therefore be called static.
Arno Joentgen +3 more
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Analysis of fuzzy -ary relations with the use of interval-valued fuzzy functional dependencies
International Journal of General Systems, 2013Abstract The paper contains an analysis of integrity constraints for -ary relations in fuzzy databases. Apart from dependencies between all attributes there may be also dependencies describing relationships of fewer attributes. However, there is no complete arbitrariness.
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A Piecewise Fuzzy Lyapunov Function Approach to Stability Analysis of Discrete T-S Fuzzy System
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007), 2007Stability analysis of discrete T-S fuzzy system with the common Lyapunov function approach and the fuzzy Lyapunov function approach is computationally attractive but conservative. Based on the definition of a discrete piecewise fuzzy Lyapunov function at each overlapping rules group, this paper introduces a new sufficient stability condition that only ...
Gui-Chen Zhang, Songtao Zhang, Guang Ren
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Describing function method for stability analysis of PD and PI fuzzy controllers
Fuzzy Sets and Systems, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Javier Aracil 0002, Francisco Gordillo
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