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KES
2000
Springer
13 years 8 months ago
Effects of antecedent pruning in fuzzy classification systems
Fuzzy classification rules are widely considered a well-suited representation of classification knowledge, as they allow readable and interpretable rule bases. The goal of this pa...
Andreas Nürnberger, Aljoscha Klose, Rudolf Kr...
IWANN
2001
Springer
13 years 9 months ago
Neuro-Fuzzy Nets in Medical Diagnosis: The DIAGEN Case Study of Glaucoma
This work presents an approach to the automatic interpretation of the visual field to enable ophthalmology patients to be classified as glaucomatous and normal. The approach is bas...
Enrique J. Carmona, José Mira, Juliá...
IJAR
2006
133views more  IJAR 2006»
13 years 4 months ago
Extraction of similarity based fuzzy rules from artificial neural networks
A method to extract a fuzzy rule based system from a trained artificial neural network for classification is presented. The fuzzy system obtained is equivalent to the correspondin...
Carlos Javier Mantas, José Manuel Puche, J....
TFS
2008
90views more  TFS 2008»
13 years 4 months ago
Fuzzy Interpolation and Extrapolation: A Practical Approach
Fuzzy interpolation does not only help to reduce the complexity of fuzzy models, but also makes inference in sparse rule-based systems possible. It has been successfully applied to...
Zhiheng Huang, Qiang Shen
PAMI
2010
147views more  PAMI 2010»
13 years 3 months ago
The Groupwise Medial Axis Transform for Fuzzy Skeletonization and Pruning
—Medial representations of shapes are useful due to their use of an object-centered coordinate system that directly captures intuitive notions of shape such as thickness, bending...
Aaron D. Ward, Ghassan Hamarneh