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: Nur Azieta, Mohamad Aseri, Mohd Arfian, Ismail, Abdul Sahli, Fakharudin, Ashraf Osman, Ibrahim, Shahreen, Kasim, Noor Hidayah, Zakaria, Sutikno, Tole
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2022
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/33572/1/Comparison%20of%20meta-heuristic%20algorithms%20for%20fuzzy%20modelling%20of%20covid-19%20illness%E2%80%99.pdf

Internet

http://umpir.ump.edu.my/id/eprint/33572/1/Comparison%20of%20meta-heuristic%20algorithms%20for%20fuzzy%20modelling%20of%20covid-19%20illness%E2%80%99.pdf

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