Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

Insights into Interpretability of Neuro-Fuzzy Systems

Authors
Marco Pota, Massimo Esposito
Corresponding Author
Marco Pota
Available Online June 2015.
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.202How to use a DOI?
Keywords
Neuro-fuzzy systems, Semantic Interpretability, Complexity, Fuzzy sets shape, Rule weights.
Abstract

Neuro-fuzzy networks revealed their proficiency in learning from data, while offering a transparent and somehow interpretable rule-based model. Recent research focused either on the interpretability of the chosen model or on the system performance. Regarding the interpretability, here an index to control the trade-off between complexity and performance, some insights into fuzzy partitions properties, an ideal fuzzy sets shape, and an evaluation of rules are proposed. All the evaluations are made taking into account the required output and performance. A discussion on results of a system built using the Wisconsin Breast Cancer Dataset is performed as a proof of concept.

Copyright
© 2015, 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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Volume Title
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-77-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.202How to use a DOI?
Copyright
© 2015, 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  - CONF
AU  - Marco Pota
AU  - Massimo Esposito
PY  - 2015/06
DA  - 2015/06
TI  - Insights into Interpretability of Neuro-Fuzzy Systems
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 1427
EP  - 1434
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.202
DO  - https://doi.org/10.2991/ifsa-eusflat-15.2015.202
ID  - Pota2015/06
ER  -