Early Identification of COVID-19 Using Dynamic Fuzzy Rule Based System.

MIB Ahmed, A Rahman, M Farooqui… - Mathematical …, 2021 - search.ebscohost.com
The undergoing research aims to address the problem of COVID-19 which has turned out to
be a global pandemic. Despite developing some successful vaccines, the pace has not …

A decision-making system for Corona prognosis using fuzzy inference system

S Arora, R Vadhera, B Chugh - Journal of fuzzy extension and …, 2021 - journal-fea.com
COVID-19, an epidemic disease, has challenged human lives all over the world.
Governments and scientific communities are trying their level best to help the masses. This …

Artificial neural network based COVID-19 suspected area identification

T Akhter, MA Islam, S Islam - Journal of Engineering Advancements, 2020 - scienpg.com
This paper deals with the symptoms based COVID-19 suspected area identification using an
artificial neural network by which a country or region can be divided into red, yellow, and …

Fuzzy rule-based system for predicting daily case in covid-19 outbreak

P Cihan - 2020 4th International Symposium on …, 2020 - ieeexplore.ieee.org
The Covid-19 outbreak appeared in Wuhan in December 2019 and spread rapidly all over
the world. The Covid-19 disease does not yet have a clinically proven vaccine and drug for …

Determining covid-19 severity with fuzzy inference system

N Mohebbi, M Alavi, M Kargari - 2022 27th International …, 2022 - ieeexplore.ieee.org
The pandemic caused by a new variation of Coronavirus, called COVID-19, has caused a
universal crisis infecting all the countries around the world and affecting people's lives in …

Symptoms-based fuzzy-logic approach for COVID-19 diagnosis

M Shatnawi, A Shatnawi, Z AlShara… - International Journal of …, 2021 - dc.etsu.edu
The coronavirus (COVID-19) pandemic has caused severe adverse effects on the human life
and the global economy affecting all communities and individuals due to its rapid spreading …

[PDF][PDF] Diagnosis of COVID-19 disease by fuzzy expert system designed based on input-output

M Dehghandar, M Pabasteh, R Heydari - Journal of Control, 2021 - researchgate.net
Accurate prediction and diagnosis of COVID-19 disease is very important for everyone,
especially for medical professionals. On the other hand, the use of fuzzy systems in …

[PDF][PDF] Fuzzy logic inference system for identification and prevention of Coronavirus (COVID-19)

N Dhiman, M Sharma - International journal of innovative …, 2020 - pdfs.semanticscholar.org
Now a days Novel Coronavirus named COVID-19 becomes major health concern causing
severe health issue in human beings and it becomes a pandemic. It'sa kind of zoonotic that …

[PDF][PDF] Fuzzy rule based system to predict COVID19-a deadly virus

D Painuli, D Mishra, S Bhardwaj, M Aggarwal - way, 2020 - ijmh.org
Around four lakh confirmed cases and more than one lakh eighty nine thousand death
worldwide due to a virus called Coronavirus causing a respiratory disease “COVID19” were …

A type-2 fuzzy rule-based model for diagnosis of COVID-19

İ Şahin, E AKDOĞAN, ME Aktan - Turkish Journal of Electrical …, 2023 - journals.tubitak.gov.tr
In this study, a type-2 fuzzy logic-based decision support system comprising clinical
examination and blood test results that health professionals can use in addition to existing …