Comparison of meta-heuristic algorithms for fuzzy modelling of COVID-19 illness’ severity classification

Comparison of meta-heuristic algorithms for fuzzy modelling of COVID-19 illness’ severity classification

The world health organization (WHO) proclaimed the COVID-19, commonly known as the coronavirus disease 2019, was a pandemic in March 2020. When people are in close proximity to one another, the virus spreads mostly through the air. It causes some symptoms in the affected person. COVID-19 symptoms ar...

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Bibliographic Details
Main Authors: Mohamad Aseri, Nur Azieta, Ismail, Mohd. Arfian, Fakharudin, Abdul Sahli, Ibrahim, Ashraf Osman, Kasim, Shahreen, Zakaria, Noor Hidayah, Sutikno, Tole
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2022
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/98695/1/NoorHidayahZakaria2022_ComparisonofMetaHeuristicAlgorithms.pdf
http://eprints.utm.my/id/eprint/98695/
http://dx.doi.org/10.11591/ijai.v11.i1.pp50-64
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Institution: Universiti Teknologi Malaysia
Language: English

Internet

http://eprints.utm.my/id/eprint/98695/1/NoorHidayahZakaria2022_ComparisonofMetaHeuristicAlgorithms.pdf
http://eprints.utm.my/id/eprint/98695/
http://dx.doi.org/10.11591/ijai.v11.i1.pp50-64

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