Single-valued pentapartitioned neutrosophic weighted hyperbolic tangent similarity measure to determine the most significant environmental risks during the COVID-19 pandemic

Abstract

This paper investigates the concept of Single-Valued Pentapartitioned Neutrosophic Hyperbolic Tangent Similarity Measure (SVPNHTSM) and Single-Valued Pentapartitioned Neutrosophic Weighted Hyperbolic Tangent Similarity Measure (SVPNWHTSM) under the Single-Valued Pentapartitioned Neutrosophic Set (SVPNS) environment. SVPNHTSM and SVPNHTCSM also produce some interesting results relating to similarities between the two SVPNSs. In an SVPNS environment, SVPNHTSM is also used to bring the development of the Multi-Attribute Decision-Making (MADM) strategy. To determine the most affected factor of the environment affected by COVID-19, the novel SVPNHTSM is used. Results obtained from this study show that the incremental rate of water pollution is the major effect of COVID-19 on our environment. Finally, validation of the obtained results is done using comparative studies and sensitivity analysis.

Keywords

• fuzzy set
• neutrosophic set
• single-valued neutrosophic set
• single-valued pentapartitioned neutrosophic set
• multi-attribute decision-making
• hyperbolic tangent similarity measure
• covid-19