Distance of Similarity Measure under Neutrosophic Sets to Assess the Challenges of IoT in Supply Chain and COVID-19

R. Martínez Martínez ^*, P. E. Acurio Padilla, J. E. Jami Carrera

Docente de la Carrera de Medicina de la Universidad Regional Autónoma de los Andes (UNIANDES)

Emails: ua.ronelsysmartinez@uniandes.edu.ec; ua.piedadacurio@uniandes.edu.ec; ua.jeannethjami@uniandes.edu.ec

Abstract

The globe has been coping with the COVID-19 epidemic, eagerly awaiting the completion of the vaccine process. Despite the Internet of Things (IoT) and its effect on supply networks, the recent epidemic has brought unprecedented supply chain disruptions. To assess the relevance of these issues, we speak with leading specialists. A novel distance-based similarity metric based on neutrosophic set theory is being used in this research to examine IoT challenges in the supply chain. The proofs for each of the properties are provided straightforwardly.

Keywords: Neutrosophic Sets; Similarity Distance; COVID-19; Supply Chain.