Proposal of a framework for improving multi-criteria decision-making related to epidemics using heterogeneous spatial data and evolutionary algorithms (2022)
- Authors:
- USP affiliated authors: DELBEM, ALEXANDRE CLÁUDIO BOTAZZO - ICMC ; SARAIVA, ANTONIO MAURO - EP ; LOPES, GESIEL RIOS - ICMC ; SILVA, ROBERTO FRAY DA - IEA
- Unidades: ICMC; EP; IEA
- DOI: 10.33448/rsd-v12i2.39844
- Subjects: TOMADA DE DECISÃO; ANÁLISE DE DADOS; ALGORITMOS GENÉTICOS; MAPAS
- Keywords: Data fusion; Map visualization
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Research, Society and Development
- ISSN: 2525-3409
- Volume/Número/Paginação/Ano: v. 12, n. 2, p. 1-13, 2022
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
LOPES, Gesiel Rios et al. Proposal of a framework for improving multi-criteria decision-making related to epidemics using heterogeneous spatial data and evolutionary algorithms. Research, Society and Development, v. 12, n. 2, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.33448/rsd-v12i2.39844. Acesso em: 31 maio 2024. -
APA
Lopes, G. R., Silva, R. F. da, Pelarigo, K. J., Yamamura, M., Delbem, A. C. B., Scatolini, D., et al. (2022). Proposal of a framework for improving multi-criteria decision-making related to epidemics using heterogeneous spatial data and evolutionary algorithms. Research, Society and Development, 12( 2), 1-13. doi:10.33448/rsd-v12i2.39844 -
NLM
Lopes GR, Silva RF da, Pelarigo KJ, Yamamura M, Delbem ACB, Scatolini D, Ghiglieno F, Saraiva AM. Proposal of a framework for improving multi-criteria decision-making related to epidemics using heterogeneous spatial data and evolutionary algorithms [Internet]. Research, Society and Development. 2022 ; 12( 2): 1-13.[citado 2024 maio 31 ] Available from: https://doi.org/10.33448/rsd-v12i2.39844 -
Vancouver
Lopes GR, Silva RF da, Pelarigo KJ, Yamamura M, Delbem ACB, Scatolini D, Ghiglieno F, Saraiva AM. Proposal of a framework for improving multi-criteria decision-making related to epidemics using heterogeneous spatial data and evolutionary algorithms [Internet]. Research, Society and Development. 2022 ; 12( 2): 1-13.[citado 2024 maio 31 ] Available from: https://doi.org/10.33448/rsd-v12i2.39844 - Identification of risk areas using spatial clustering to improve dengue monitoring in urban environments
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Informações sobre o DOI: 10.33448/rsd-v12i2.39844 (Fonte: oaDOI API)
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