A Comparative Study of Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps on Covid Variants

Authors

  • Regan Murugesan Department of Mathematics, Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, Chennai, India.
  • Yamini Parthiban Department of Mathematics, Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, Chennai, India.
  • R. Narmada Devi Department of Mathematics, Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, Chennai, India.
  • Kala Raja Mohan Department of Mathematics, Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, Chennai, India.
  • Sathish Kumar Kumaravel 5Department of Mathematics, Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, Chennai, India.

Keywords:

Fuzzy set, Fuzzy graph, Neutrosophic Cognitive Map, Fuzzy Cognitive Map

Abstract

The pandemic situation created by COVID’19 is ridiculous. It has made even the blood relations hide
themselves from the infected person. The whole world was stunned by this situation. This is because of the uncertainty
in the way in which this disease is spread. As an advancement of this disease, a few other variants like delta, omicron
etc. also got spread. It is essential to find a solution to this situation . The variants Omicron and Delta are taken into
consideration here. Though both the vibrant colours look alike, the symptoms and prevention methods changes for
each of these vibrants. This work aims to make a study of the parameters responsible for these variants. As a result
of this study, the parameters involved in the spread of these diseases are identified, and the prevention parameters are
concluded. The major benefit of this comparatively study is to identify the parameters that are inconclusive, applying
the concepts of fuzzy cognitive maps and neutrosophic cognitive maps is applied to bring out the result

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Published

2023-05-01

Issue

Vol. 55 (2023): Neutrosophic Sets and Systems

Section

SI#1,2024: Neutrosophical Advancements And Their Impact on Research

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

 Creative Commons Attribution (CC BY) license.

How to Cite

Regan Murugesan, Yamini Parthiban, R. Narmada Devi, Kala Raja Mohan, & Sathish Kumar Kumaravel. (2023). A Comparative Study of Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps on Covid Variants. Neutrosophic Sets and Systems, 55, 329-343. https://fs.unm.edu/nss8/index.php/111/article/view/3195