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FUZZIEEE
2007
IEEE
13 years 8 months 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...
EUSFLAT
2009
158views Fuzzy Logic» more  EUSFLAT 2009»
13 years 2 months ago
Bi-criteria Genetic Selection of Bagging Fuzzy Rule-based Multiclassification Systems
Previously we proposed a scheme to generate fuzzy rule-based multiclassification systems by means of bagging, mutual information-based feature selection, and a multicriteria geneti...
Krzysztof Trawinski, Arnaud Quirin, Oscar Cord&oac...
GECCO
2003
Springer
110views Optimization» more  GECCO 2003»
13 years 9 months ago
Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers
One advantage of evolutionary multiobjective optimization (EMO) algorithms over classical approaches is that many non-dominated solutions can be simultaneously obtained by their si...
Hisao Ishibuchi, Takashi Yamamoto
IEEEIAS
2008
IEEE
13 years 11 months ago
Ensemble of One-Class Classifiers for Network Intrusion Detection System
To achieve high accuracy while lowering false alarm rates are major challenges in designing an intrusion detection system. In addressing this issue, this paper proposes an ensembl...
Anazida Zainal, Mohd Aizaini Maarof, Siti Mariyam ...
ICONIP
2009
13 years 2 months ago
Exchange Rate Forecasting Using Classifier Ensemble
: In this paper, we investigate the impact of the non-numerical information on exchange rate changes and that of ensemble multiple classifiers on forecasting exchange rate between ...
Zhi-Bin Wang, Hong-Wei Hao, Xu-Cheng Yin, Qian Liu...