• Naresh Kumar
• Shubhnesh Kumar Goyal

Abstract-Covid-19 has had far-reaching effects, including fatalities and tremendous economic devastation. Attempts by countries to slow down its spread by implementing various restrictions and lockdowns have met with variable degrees of success. By analyzing data on fatalities and economic impact, this study hopes to recommend the best course of action for coping with a pandemic. The economy would collapse under the weight of a total lockdown until vaccination, while more cases of Covid-19 would emerge in the absence of any controls. Accordingly, a dynamic model is required to provide an appropriate approach in light of the current economic and health status. This work describes a method that uses a systems dynamics model to assess mortality and healthcare facilities, and a fuzzy inference system to choose next-period tactics according to established guidelines. We calculated GDP by adding together spending at all levels of government, investment, consumer spending, and business investment. During a pandemic, the hybrid framework that was created is an attempt to find a happy medium between maintaining public health and maintaining economic stability. After the fuzzy rules and membership functions have been established, the model may be used to make choices about restrictive policy after the parameters have been filled in.

Keywords-Covid-19, intervention measures, FIS, membership function

"Application of fuzzy inference forecasting to the design of an intervention strategy for the Covid-19", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.g50-g59, March-2023, Available :http://www.jetir.org/papers/JETIR2303610.pdf

"Application of fuzzy inference forecasting to the design of an intervention strategy for the Covid-19", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppg50-g59, March-2023, Available at : http://www.jetir.org/papers/JETIR2303610.pdf