International Journal of Computational Intelligence Systems

Volume 5, Issue 2, April 2012, Pages 231 - 253

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

Authors
Krzysztof TrawiÅ„ski, Oscar Cordón, Arnaud Quirin
Corresponding Author
Krzysztof Trawiński
Received 22 November 2010, Accepted 1 April 2011, Available Online 1 April 2012.
DOI
https://doi.org/10.1080/18756891.2012.685272How to use a DOI?
Keywords
Fuzzy rule-based multiclassification systems, bagging, FURIA, genetic selection of individual classifiers, diversity measures, evolutionary multiobjective optimization, NSGA-II
Abstract

In a preceding contribution, we conducted a study considering a fuzzy multiclassifier system (MCS) design framework based on Fuzzy Unordered Rule Induction Algorithm (FURIA). It served as the fuzzy rule classification learning algorithm to derive the component classifiers considering bagging and feature selection. In this work, we integrate this approach under the overproduce-and-choose strategy. A state-of-the-art evolutionary multiobjective algorithm, namely NSGA-II, is used to provide a component classifier selection and improve FURIA-based fuzzy MCS. We propose five different fitness functions based on three different optimization criteria, accuracy, complexity, and diversity. Twenty UCI high dimensional datasets were considered in order to conduct the experiments. A combination between accuracy and diversity criteria provided very promising results, becoming competitive with classical MCS learning methods.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
5 - 2
Pages
231 - 253
Publication Date
2012/04/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.1080/18756891.2012.685272How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Krzysztof Trawiński
AU  - Oscar Cordón
AU  - Arnaud Quirin
PY  - 2012
DA  - 2012/04/01
TI  - A Study on the Use of Multiobjective Genetic Algorithms for Classifier Selection in FURIA-based Fuzzy Multiclassifiers
JO  - International Journal of Computational Intelligence Systems
SP  - 231
EP  - 253
VL  - 5
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2012.685272
DO  - https://doi.org/10.1080/18756891.2012.685272
ID  - Trawiński2012
ER  -