Identification of the Most Significant Risk Factor of COVID-19 in Economy Using Cosine Similarity Measure under SVPNS-Environment

Authors

  • Priyanka Majumder
  • Suman Das
  • Rakhal Das
  • Binod Chandra Tripathy

Abstract

In this article, we procure the idea of single-valued pentapartitioned neutrosophic cosine
similarity measure (SVPNCSM) and single-valued pentapartitioned neutrosophic weighted cosine
similarity measure (SVPNWCSM) under the single-valued pentapartitioned neutrosophic set
(SVPNS) environment. Besides, we formulate several interesting results on SVPNCSM and
SVPNWCSM of similarities between two SVPNSs. Further, we present a multi-attribute
decision-making (MADM) model under SVPNS environment using the SVPNCSM. Finally, we
provide a numerical example to show the applicability and effectiveness of our proposed MADM
technique.

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Published

2021-11-01

Issue

Section

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

How to Cite

Priyanka Majumder, Suman Das, Rakhal Das, & Binod Chandra Tripathy. (2021). Identification of the Most Significant Risk Factor of COVID-19 in Economy Using Cosine Similarity Measure under SVPNS-Environment. Neutrosophic Sets and Systems, 46, 112-127. https://fs.unm.edu/nss8/index.php/111/article/view/4143

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