On Novel Hellinger Divergence Measure of Neutrosophic Hypersoft Sets in Symptomatic Detection of COVID-19

Authors

  • Himanshu Dhumras Jaypee University of Information Technology, Waknaghat, Solan, HP, INDIA;
  • Rakesh Kumar Bajaj Jaypee University of Information Technology, Waknaghat, Solan, HP, INDIA;

Keywords:

Single-Valued Neutrosophic Hypersoft Set; Hellinger divergence measure; Decision-making; COVID-19

Abstract

Numerous decision science processes involves the divergence measure is the most suitable
information measure for dealing with the vagueness and impreciseness of the factors affecting the
decision-making models. In this manuscript, a new kind of Hellinger information measure for a
single-valued neutrosophic hypersoft set along with some important results have been presented
and studied in detail. Also, we have presented the implementation of the proposed information
measure to deal with the symptomatic detection of COVID-19 with a numerical illustration. In view
of the existing methods related to divergence measures, some comparative results and remarks
along with some important advantages have also been presented.

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Published

2023-05-01

Issue

Section

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

How to Cite

Himanshu Dhumras, & Rakesh Kumar Bajaj. (2023). On Novel Hellinger Divergence Measure of Neutrosophic Hypersoft Sets in Symptomatic Detection of COVID-19. Neutrosophic Sets and Systems, 55, 265-284. https://fs.unm.edu/nss8/index.php/111/article/view/3191