Paper Info
Title
Automatic Generation Of A Type-2 Fuzzy System For Time Series Forecast Based On Genetic Programming
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.
Year
DOI
Venue
2019
10.2991/eusflat-19.2019.54
PROCEEDINGS OF THE 11TH CONFERENCE OF THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY (EUSFLAT 2019)
Keywords
DocType
Volume
Fuzzy System, Mamdani, Genetic Programming, Forecasting, Noisy Data
Conference
1
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Marco Antonio Cunha Ferreira100.34
Ricardo Tanscheit211821.53
Marley B. R. Vellasco328047.47