Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series (2021)
- Authors:
- USP affiliated authors: MELLO, RODRIGO FERNANDES DE - ICMC ; RIOS, RICARDO ARAÚJO - ICMC ; RIOS, TATIANE NOGUEIRA - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.asoc.2021.108011
- Subjects: ANÁLISE DE SÉRIES TEMPORAIS; FUZZY (INTELIGÊNCIA ARTIFICIAL)
- Keywords: Time series fuzzification; Decomposition; Fuzzy clustering
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Applied Soft Computing
- ISSN: 1568-4946
- Volume/Número/Paginação/Ano: v. 113, p. 1-13, Dec. 2021
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
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: 20 jan. 2026. -
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.2021.108011 -
NLM
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 2026 jan. 20 ] Available from: https://doi.org/10.1016/j.asoc.2021.108011 -
Vancouver
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 2026 jan. 20 ] Available from: https://doi.org/10.1016/j.asoc.2021.108011 - Prediction of hemophilia A severity using a small-input machine-learning framework
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Informações sobre o DOI: 10.1016/j.asoc.2021.108011 (Fonte: oaDOI API)
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