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Distance of Similarity Measure under Neutrosophic Sets to Assess the Challenges of IoT in Supply Chain and COVID-19
International Journal of Neutrosophic Science ; 18(4):313-322, 2022.
Article in English | Scopus | ID: covidwho-1995102
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. © 2022, American Scientific Publishing Group (ASPG). All rights reserved.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: International Journal of Neutrosophic Science Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: International Journal of Neutrosophic Science Year: 2022 Document Type: Article