| Full text | |
| Author(s): |
dos Santos Ferreira, Marcos Vinicius
;
Rios, Ricardo
;
Rios, Tatiane Nogueira
Total Authors: 3
|
| Document type: | Journal article |
| Source: | SOFTWARE IMPACTS; v. 11, p. 5-pg., 2022-01-27. |
| Abstract | |
This manuscript introduces a new software, sci-FTS, which models time series by combining Signal Processing tools and Fuzzy Set Theory. Firstly, time series are decomposed into Intrinsic Mode Functions (IMFs), emphasizing instantaneous frequencies and amplitudes. Secondly, sci-FTS combines IMFs to extract deterministic influences, removing noises. Next, sci-FTS executes an algorithm that finds an adequate space partitioning to produce the fuzzy sets. Finally, Fuzzy Time Series steps are considered to predict observations. Our contributions are twofold: sci-FTS finds out similar patterns in observations to better model the universe of discourse; ii) models produced by sci-FTS overcome studies from the literature. (AU) | |
| FAPESP's process: | 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry |
| Grantee: | Francisco Louzada Neto |
| Support Opportunities: | Research Grants - Research, Innovation and Dissemination Centers - RIDC |