Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction()

In the advent of the novel coronavirus epidemic since December 2019, governments and authorities have been struggling to make critical decisions under high uncertainty at their best efforts. In computer science, this represents a typical problem of machine learning over incomplete or limited data in...

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Detalles Bibliográficos
Autores principales: Fong, Simon James, Li, Gloria, Dey, Nilanjan, Crespo, Rubén González, Herrera-Viedma, Enrique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7195106/
https://www.ncbi.nlm.nih.gov/pubmed/32362799
http://dx.doi.org/10.1016/j.asoc.2020.106282

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7195106/
https://www.ncbi.nlm.nih.gov/pubmed/32362799
http://dx.doi.org/10.1016/j.asoc.2020.106282

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