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TSMC
2010
13 years 25 days ago
Set-Membership Fuzzy Filtering for Nonlinear Discrete-Time Systems
This paper is concerned with the set-membership filtering (SMF) problem for discrete-time nonlinear systems. We employ the Takagi
Fuwen Yang, Yongmin Li
TSMC
2002
144views more  TSMC 2002»
13 years 5 months ago
COR: a methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules
This paper introduces a new learning methodology to quickly generate accurate and simple linguistic fuzzy models, the cooperative rules (COR) methodology. It acts on the consequent...
Jorge Casillas, Oscar Cordón, Francisco Her...
IJSYSC
2000
67views more  IJSYSC 2000»
13 years 6 months ago
Incorporating prior knowledge in fuzzy model identification
This paper presents an algorithm for incorporating a priori knowledge into data-driven identification of dynamic fuzzy models of the Takagi-Sugeno type. Knowledge about the modell...
János Abonyi, Robert Babuska, Henk B. Verbr...
TITB
2008
178views more  TITB 2008»
13 years 6 months ago
Automated Diagnosis of Coronary Artery Disease Based on Data Mining and Fuzzy Modeling
A fuzzy rule-based decision support system (DSS) is presented for the diagnosis of coronary artery disease (CAD). The system is automatically generated from an initial annotated da...
Markos G. Tsipouras, Themis P. Exarchos, Dimitrios...
AUTOMATICA
2005
152views more  AUTOMATICA 2005»
13 years 6 months ago
Identification of dynamical systems with a robust interval fuzzy model
In this paper we present a new method of interval fuzzy model identification. The method combines a fuzzy identification methodology with some ideas from linear programming theory...
Igor Skrjanc, Saso Blazic, Osvaldo E. Agamennoni
EAAI
2007
101views more  EAAI 2007»
13 years 6 months ago
Fault detection for nonlinear systems with uncertain parameters based on the interval fuzzy model
In the paper an application of the interval fuzzy model (INFUMO) in fault detection for nonlinear systems with uncertain intervaltype parameters is presented. A confidence band f...
Simon Oblak, Igor Skrjanc, Saso Blazic
FSS
2008
69views more  FSS 2008»
13 years 6 months ago
A methodology for automated fuzzy model generation
In this paper we propose a generic methodology for the automated generation of fuzzy models. The methodology is realized in three stages. Initially, a crisp model is created and i...
Markos G. Tsipouras, Themis P. Exarchos, Dimitrios...
EUSFLAT
2001
108views Fuzzy Logic» more  EUSFLAT 2001»
13 years 7 months ago
Intelligent modelling of the indoor climate in buildings by soft computing
The paper considers the application of soft computing techniques for predictive modelling in the built sector. TakagiSugeno fuzzy models are built by subtractive clustering to pro...
Alexander Gegov
EUSFLAT
2001
130views Fuzzy Logic» more  EUSFLAT 2001»
13 years 7 months ago
Autonomous robot behaviours for co-operative agents using fuzzy logic and subtractive clustering
Intelligent autonomous robots and multiagent systems, having different skills and capabilities for specific subtasks, have the potential to solve problems more efficiently and eff...
Alexandros Mouzakitis, Geoff Roberts
CORIA
2007
13 years 7 months ago
L'arbre recouvrant dans l'interrogation de documents XML
In this paper, we propose a fuzzy model to querying the XML documents, by taking into account not only the document contents, but also their structure. The concept of minimal size ...
Abdeslame Alilouar