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

A Multi-gene Genetic Programming Fuzzy Inference System for Regression Problems

Authors
Adriano S. Koshiyama, Marley M.B.R. Vellasco, Ricardo Tanscheit
Corresponding Author
Adriano S. Koshiyama
Available Online June 2015.
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.105How to use a DOI?
Keywords
Genetic fuzzy system, genetic programming, regression.
Abstract

This work presents a novel Genetic Fuzzy System (GFS), called Genetic Programming Fuzzy Inference System for Regression problems (GPFISRegress). It makes use of Multi-Gene Genetic Programming to build the premises of fuzzy rules, including t-norms, negation and linguistic hedge operators. GPFIS-Regress also defines a consequent term that is more compatible with a given premise and makes use of aggregation operators to weigh fuzzy rules in accordance with their influence on the problem. The system has been applied to a set of benchmarks and has also been compared to other GFSs, showing competitive results in terms of accuracy and interpretability.

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/).

Download article (PDF)

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-15.2015.105How 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  - Adriano S. Koshiyama
AU  - Marley M.B.R. Vellasco
AU  - Ricardo Tanscheit
PY  - 2015/06
DA  - 2015/06
TI  - A Multi-gene Genetic Programming Fuzzy Inference System for Regression Problems
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  - 742
EP  - 748
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.105
DO  - https://doi.org/10.2991/ifsa-eusflat-15.2015.105
ID  - Koshiyama2015/06
ER  -