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

• 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; http://umpir.ump.edu.my/id/eprint/33572/; https://doi.org/10.11591/ijai.v11.i1.pp50-64; https://doi.org/10.11591/ijai.v11.i1.pp50-64

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...