Source: Proceedings. Conference titles: International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems - IPMU. Unidade: FEA
Subjects: FINANÇAS, TAXA DE CÂMBIO, ANÁLISE DE SÉRIES TEMPORAIS, ECONOMETRIA
ABNT
MACIEL, Leandro dos Santos e BALLINI, Rosangela e GOMIDE, Fernando. A fuzzy model for interval-valued time series modeling and application in exchange rate forecasting. 2020, Anais.. Cham: Springer, 2020. Disponível em: https://doi.org/10.1007/978-3-030-50153-2_4. Acesso em: 03 nov. 2024.APA
Maciel, L. dos S., Ballini, R., & Gomide, F. (2020). A fuzzy model for interval-valued time series modeling and application in exchange rate forecasting. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-50153-2_4NLM
Maciel L dos S, Ballini R, Gomide F. A fuzzy model for interval-valued time series modeling and application in exchange rate forecasting [Internet]. Proceedings. 2020 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1007/978-3-030-50153-2_4Vancouver
Maciel L dos S, Ballini R, Gomide F. A fuzzy model for interval-valued time series modeling and application in exchange rate forecasting [Internet]. Proceedings. 2020 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1007/978-3-030-50153-2_4