| Texto completo | |
| Autor(es): |
dos Santos Ferreira, Marcos Vinicius
;
Rios, Ricardo
;
Rios, Tatiane Nogueira
Número total de Autores: 3
|
| Tipo de documento: | Artigo Científico |
| Fonte: | SOFTWARE IMPACTS; v. 11, p. 5-pg., 2022-01-27. |
| Resumo | |
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) | |
| Processo FAPESP: | 13/07375-0 - CeMEAI - Centro de Ciências Matemáticas Aplicadas à Indústria |
| Beneficiário: | Francisco Louzada Neto |
| Modalidade de apoio: | Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs |