| Texto completo | |
| Autor(es): |
Lopes, Michele Martins
;
Santo Pedro, Francielle
;
Laiate, Beatriz
;
Esmi, Estevao
;
Barros, Laecio Carvalho
;
Dick, S
;
Kreinovich, V
;
Lingras, P
Número total de Autores: 8
|
| Tipo de documento: | Artigo Científico |
| Fonte: | APPLICATIONS OF FUZZY TECHNIQUES, NAFIPS 2022; v. 500, p. 12-pg., 2023-01-01. |
| Resumo | |
In thispaper, we present a brief study on the fractional derivative of Caputo in the space of linearly correlated fuzzy numbers (R-F(A)), with a non-symmetric fuzzy number A. This space is interesting since it has a Banach space structure. The use of the Caputo derivative gives the advantage of including memory effect in the dynamics of mathematical models, allowing a better description of real phenomena. To illustrate the proposed concepts, we study the curve of cumulative cases of COVID-19 in China through a fractional logistic model in space R-F(A). (AU) | |
| Processo FAPESP: | 20/09838-0 - BI0S - Brazilian Institute of Data Science |
| Beneficiário: | João Marcos Travassos Romano |
| Modalidade de apoio: | Auxílio à Pesquisa - Programa Centros de Pesquisa Aplicada |