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

Title
Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction
Authors
Keywords
Monte Carlo simulation, Decision support, COVID-19, 2019-nCoV, Coronavirus
Journal
APPLIED SOFT COMPUTING
Volume 93, Issue -, Pages 106282
Publisher
Elsevier BV
Online
2020-04-10
DOI
10.1016/j.asoc.2020.106282

Ask authors/readers for more resources

Reprint

Contact the author

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started