International Journal of Computational Intelligence Systems

Volume 5, Issue 2, April 2012, Pages 355 - 367

Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD

Authors
C.J. Carmona, P. González, M.J. Gacto, M.J. del Jesus
Corresponding Author
C.J. Carmona
Received 15 December 2010, Accepted 1 June 2011, Available Online 1 April 2012.
DOI
10.1080/18756891.2012.685323How to use a DOI?
Keywords
Subgroup discovery, evolutionary fuzzy system, fuzzy rules, 2-tuples linguistic representation
Abstract

The main objective of subgroup discovery is to discover interesting and interpretable patterns with respect to a specific property. The use of evolutionary fuzzy systems provides good algorithms to approach this problem. In this sense, NMEEF-SD algorithm –one of the most representative evolutionary fuzzy systems for subgroup discovery–obtains precise and interpretable subgroups. However in the majority of the evolutionary fuzzy systems, the membership functions of the linguistic labels are usually fixed to static values and the partitions are not adapted to the context of each variable. In this paper, a post-processing tuning step to improve the results of the subgroup discovery algorithm NMEEF-SD is proposed, allowing the partitions to be adapted to the context the variables. The application of this tuning step is a novelty in subgroup discovery and consist of a genetic algorithm which allows the lateral displacement of the membership functions of a label considering a unique parameter, using the 2-tuples linguistic representation. The results obtained using different data sets of the KEEL repository show the improvement in the performance of the NMEEF-SD algorithm with lateral displacement. The study is supported by statistical tests to improve the analysis performed.

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
355 - 367
Publication Date
2012/04/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2012.685323How 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  - C.J. Carmona
AU  - P. González
AU  - M.J. Gacto
AU  - M.J. del Jesus
PY  - 2012
DA  - 2012/04/01
TI  - Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD
JO  - International Journal of Computational Intelligence Systems
SP  - 355
EP  - 367
VL  - 5
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2012.685323
DO  - 10.1080/18756891.2012.685323
ID  - Carmona2012
ER  -