by Marcin Korytkowski, Leszek Rutkowski, Rafał Scherer
Abstract:
Neuro-fuzzy systems show very good performance and the knowledge comprised within their structure is easily interpretable. To further improve their accuracy they can be combined into ensembles. In the paper we combine specially modified Mamdani neuro-fuzzy systems into an AdaBoost ensemble. The proposed modification improves the interpretability of knowledge by allowing merging the subsystems rule bases into one knowledge base. Simulations on two benchmarks shows excellent performance of the modified neuro-fuzzy systems.
Reference:
M. Korytkowski, L. Rutkowski and R. Scherer, "From Ensemble of Fuzzy Classifiers to Single Fuzzy Rule Base Classifier", Lecture Notes in Artificial Intelligence, vol. 5097, 2008, pp. 265-272.
Bibtex Entry:
@ARTICLE{KorSchRutkoICAISC2008,
author = {Marcin Korytkowski and Leszek Rutkowski and Rafał Scherer},
title = {From Ensemble of Fuzzy Classifiers to Single Fuzzy Rule Base Classifier},
journal = {Lecture Notes in Artificial Intelligence},
year = {2008},
volume = {5097},
pages = {265-272},
abstract = {Neuro-fuzzy systems show very good performance and the knowledge comprised
within their structure is easily interpretable. To further improve
their accuracy they can be combined into ensembles. In the paper
we combine specially modified Mamdani neuro-fuzzy systems into an
AdaBoost ensemble. The proposed modification improves the interpretability
of knowledge by allowing merging the subsystems rule bases into one
knowledge base. Simulations on two benchmarks shows excellent performance
of the modified neuro-fuzzy systems.},
url = {http://www.springerlink.com/content/p2813172x2w414t2/}
}