Fuzzy logic approach to estimate vulnerability level to infectious agents: COVID as an example

G. Vasanti; K. Lakshmi

doi:10.1117/12.2684055

14 August 2023 Fuzzy logic approach to estimate vulnerability level to infectious agents: COVID as an example

G. Vasanti, K. Lakshmi

Proceedings Volume 12758, International Conference on Emerging Materials for Technological Applications (ICEMTA 2022); 1275806 (2023) https://doi.org/10.1117/12.2684055
Event: International Conference on Emerging Materials for Technological Applications (ICEMTA 2022), 2022, Pradesh, India

Abstract

A common man is haunted by the thoughts of being infected by an unknown virus or bacteria or some microorganism, like severe acute respiratory syndrome corona virus -2 (SARS-Cov-2). To predict the vulnerability level of a person to infectious agents due to their exposure. A model is designed in this article using Fuzzy Inference system-Mamdani Type, based on the example of COVID cases considering a person’s visit to different places like professional visits, exposure in residential area, location of the office and many more other factors. Henceforth analyze our daily schedule to estimate the level of vulnerability to a virus such as SARS-Cov-2.

Citation Download Citation

G. Vasanti and K. Lakshmi "Fuzzy logic approach to estimate vulnerability level to infectious agents: COVID as an example", Proc. SPIE 12758, International Conference on Emerging Materials for Technological Applications (ICEMTA 2022), 1275806 (14 August 2023); https://doi.org/10.1117/12.2684055

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