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FUZZIEEE
2007
IEEE
14 years 20 days ago
Ensembles of Fuzzy Classifiers
The use of bagging is explored to create an ensemble of fuzzy classifiers. The learning algorithm used was ANFIS (Adaptive Neuro-Fuzzy Inference Systems). We compare results from b...
Juana Canul-Reich, Larry Shoemaker, Lawrence O. Ha...
IJAR
2010
189views more  IJAR 2010»
13 years 7 months ago
A fuzzy random forest
Following Breiman’s methodology, we propose a multi-classifier based on a “forest” of randomly generated fuzzy decision trees, i.e., a Fuzzy Random Forest. This approach co...
Piero P. Bonissone, José Manuel Cadenas, M....
EUSFLAT
2009
203views Fuzzy Logic» more  EUSFLAT 2009»
13 years 6 months ago
Online Recognition of Fuzzy Time Series Patterns
This article deals with the recognition of recurring multivariate time series patterns modelled sample-point-wise by parametric fuzzy sets. An efficient classification-based approa...
Gernot Herbst, Steffen F. Bocklisch
EUSFLAT
2003
117views Fuzzy Logic» more  EUSFLAT 2003»
13 years 10 months ago
Genetic fuzzy controllers: from simulated based learning to a real application
This work shows a stand-alone photovoltaic system application based on fuzzy logic controllers and genetic fuzzy systems. A hierarchical fuzzy controller has been designed that at...
Joaquín Cañada Bago, Jorge Aguilera,...
SEMWEB
2007
Springer
14 years 2 months ago
Optimizing the Crisp Representation of the Fuzzy Description Logic SROIQ
Classical ontologies are not suitable to represent imprecise nor uncertain pieces of information. Fuzzy Description Logics were born to represent the former type of knowledge, but ...
Fernando Bobillo, Miguel Delgado, Juan Góme...