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Original Articles

A Study on the Use of Multiobjective Genetic Algorithms for Classifier Selection in FURIA-based Fuzzy Multiclassifiers

Pages 231-253 | Received 22 Nov 2010, Accepted 01 Apr 2011, Published online: 23 Apr 2012

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Mikel Elkano, Mikel Galar, Jose Antonio Sanz, Alberto Fernandez, Edurne Barrenechea, Francisco Herrera & Humberto Bustince. (2015) Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between <inline-formula> <tex-math>$n$</tex-math></inline-formula>-Dimensional Overlap Functions and Decomposition Strategies. IEEE Transactions on Fuzzy Systems 23:5, pages 1562-1580.
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Paulina Baczyńska & Robert Burduk. 2015. Intelligent Data Engineering and Automated Learning – IDEAL 2015. Intelligent Data Engineering and Automated Learning – IDEAL 2015 61 68 .
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Michela Antonelli, Pietro Ducange & Francesco Marcelloni. (2014) A fast and efficient multi-objective evolutionary learning scheme for fuzzy rule-based classifiers. Information Sciences 283, pages 36-54.
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Krzysztof Trawiński, Oscar Cordón, Arnaud Quirin & Luciano Sánchez. (2013) Multiobjective genetic classifier selection for random oracles fuzzy rule-based classifier ensembles: How beneficial is the additional diversity?. Knowledge-Based Systems 54, pages 3-21.
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Krzysztof Trawinski, Oscar Cordon, Luciano Sanchez & Arnaud Quirin. (2013) A Genetic Fuzzy Linguistic Combination Method for Fuzzy Rule-Based Multiclassifiers. IEEE Transactions on Fuzzy Systems 21:5, pages 950-965.
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