Ferreira, Marcos Vinícius dos Santos; Rios, Ricardo Araújo 
; Mello, Rodrigo Fernandes de ; Rios, Tatiane Nogueira
Source: Applied Soft Computing. Unidade: ICMC
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, FUZZY (INTELIGÊNCIA ARTIFICIAL)
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FERREIRA, Marcos Vinícius dos Santos et al. Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series. Applied Soft Computing, v. 113, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.108011. Acesso em: 15 jun. 2024.APA
Ferreira, M. V. dos S., Rios, R. A., Mello, R. F. de, & Rios, T. N. (2021). Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series. Applied Soft Computing, 113, 1-13. doi:10.1016/j.asoc.2021.108011NLM
Ferreira MV dos S, Rios RA, Mello RF de, Rios TN. Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series [Internet]. Applied Soft Computing. 2021 ; 113 1-13.[citado 2024 jun. 15 ] Available from: https://doi.org/10.1016/j.asoc.2021.108011Vancouver
Ferreira MV dos S, Rios RA, Mello RF de, Rios TN. Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series [Internet]. Applied Soft Computing. 2021 ; 113 1-13.[citado 2024 jun. 15 ] Available from: https://doi.org/10.1016/j.asoc.2021.108011
