Mediative fuzzy logic mathematical model: A contradictory management prediction in COVID-19 pandemic

This paper presents a model based on mediative fuzzy logic in this COVID-19 pandemic. COVID-19 (novel coronavirus respiratory disease) has become a pandemic now and the whole world has been affected by this disease. Different methodologies and many prediction techniques based on various models have been developed so far. In the present article, we have developed a mediative fuzzy correlation technique based on the parameters for COVID-19 patients from different parts of India. The proposed mediative fuzzy correlation technique provides the relation between the increments of COVID-19 positive patients in terms of the passage of increment with respect to time. The peaks of infected cases in connection with the other condition are estimated from the available data. The mediative fuzzy logic mathematical model can be utilized to find a good fit or a contradictory model for any pandemic model. The proposed approach to the prediction in COVID-19 based on mediative fuzzy logic has produced promising results for the continuous contradictory prediction in India. (C) 2021 Elsevier B.V. All rights reserved.

Automated summary

This paper presents a model based on mediative fuzzy logic for studying COVID-19 patients in different parts of India. It provides estimates for the peaks of infected cases and has shown promising results for predicting COVID-19 in India. The proposed model can be used to find a good fit or contradictory model for any pandemic situation.