METHOD TO IMPROVE THE TRANSPARENCY OF NEUROFUZZY SYSTEMS

J.A. Domínguez-López

2005

Abstract

Neurofuzzy systems have been widely applied to a diverse range of applications because their robust operation and network transparency. A neurofuzzy system is specified by a set of rules with confidences. However, as knowledge base systems, neurofuzzy systems suffer from the curse of dimensionality i.e., exponential increase in the demand of resources and in the number of rules. So, the interpretability of the final model can be lost. Thus, it is desired to have a simple rule-base to ensure transparency and implementation efficiency. After training, a rule can have several non-zero confidences. The more number of non-zero confidences, the less transparent the final model becomes. Therefore, it is elemental to reduce the number of non-zero confidences. To achieve this, the proposed algorithm search for (a maximum of) two non-zero confidences which give the same result. Thus, the system can keep its complexity with a better transparency. The proposed methodology is tested in a practical control problem to illustrate its effectiveness.

Paper Citation

in Harvard Style

Domínguez-López J. (2005). METHOD TO IMPROVE THE TRANSPARENCY OF NEUROFUZZY SYSTEMS . In Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 972-8865-29-5, pages 297-300. DOI: 10.5220/0001180802970300

in Bibtex Style

@conference{icinco05,
author={J.A. Domínguez-López},
title={METHOD TO IMPROVE THE TRANSPARENCY OF NEUROFUZZY SYSTEMS},
booktitle={Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2005},
pages={297-300},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001180802970300},
isbn={972-8865-29-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - METHOD TO IMPROVE THE TRANSPARENCY OF NEUROFUZZY SYSTEMS
SN - 972-8865-29-5
AU - Domínguez-López J.
PY - 2005
SP - 297
EP - 300
DO - 10.5220/0001180802970300