Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)

Automatic Generation of a Type-2 Fuzzy System for Time Series Forecast based on Genetic Programming

Authors
Marco Antonio Cunha Ferreira, Ricardo Tanscheit, Marley Vellasco
Corresponding Author
Marco Antonio Cunha Ferreira
Available Online August 2019.
DOI
10.2991/eusflat-19.2019.54How to use a DOI?
Keywords
Fuzzy System Mamdani Genetic Programming Forecasting Noisy Data.
Abstract

This work describes the development of a type 2 Fuzzy Inference System by using Genetic Programming for applications in time series forecasting. The resulting model, called GPFIS-Forecast+ is based on the GPFIS-Forecast created previously, which made use of Multigene Genetic Programming an provided good results. Results show that the system with type 2 fuzzy sets improves the performance, especially for noisy data.

Copyright
© 2019, 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 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
Series
Atlantis Studies in Uncertainty Modelling
Publication Date
August 2019
ISBN
10.2991/eusflat-19.2019.54
ISSN
2589-6644
DOI
10.2991/eusflat-19.2019.54How to use a DOI?
Copyright
© 2019, 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 Antonio Cunha Ferreira
AU  - Ricardo Tanscheit
AU  - Marley Vellasco
PY  - 2019/08
DA  - 2019/08
TI  - Automatic Generation of a Type-2 Fuzzy System for Time Series Forecast based on Genetic Programming
BT  - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
PB  - Atlantis Press
SP  - 385
EP  - 391
SN  - 2589-6644
UR  - https://doi.org/10.2991/eusflat-19.2019.54
DO  - 10.2991/eusflat-19.2019.54
ID  - CunhaFerreira2019/08
ER  -