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» A methodology for automated fuzzy model generation
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FSS
2008
69views more  FSS 2008»
13 years 5 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...
TITB
2008
178views more  TITB 2008»
13 years 4 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...
TSMC
2002
144views more  TSMC 2002»
13 years 4 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...
CAEPIA
2003
Springer
13 years 8 months ago
Employing TSK Fuzzy Models to Automate the Revision Stage of a CBR System
CBR systems are normally used to assist experts in the resolution of problems. During the last few years, researchers have been working in the development of techniques to automate...
Florentino Fernández Riverola, Juan M. Corc...
ECSQARU
2005
Springer
13 years 10 months ago
Generating Fuzzy Models from Deep Knowledge: Robustness and Interpretability Issues
The most problematic and challenging issues in fuzzy modeling of nonlinear system dynamics deal with robustness and interpretability. Traditional data-driven approaches, especially...
Raffaella Guglielmann, Liliana Ironi