Work

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

Year: 2020

Type: article

Source: Applied Soft Computing

DOI: 10.1016/j.asoc.2020.106282

Authors: Simon James Fong, Gloria Li, Nilanjan Dey, Rubén González Crespo, Enrique Herrera-Viedma

Institutions: Chinese Academy of Sciences, University of Macau, Zhuhai Institute of Advanced Technology, Techno India University, Universidad Internacional de La Rioja, Universidad de Granada

Language: English

Topic: COVID-19 epidemiological studies

Subfield: Modeling and Simulation

Field: Mathematics

Domain: Physical Sciences

Open Access status: bronze

Funders: Universidade de Macau, Fundo para o Desenvolvimento das Ciências e da Tecnologia, Guangzhou Science, Technology and Innovation Commission

Awards: G1280151741, G2693236758, G5140319119, G6621187252, G8351595973

OpenAlex ID: W3012678858

FWCI: 6.933

Cites: 32

Cited by: 227

Related to: 10