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  <doi_batch_id>aspg-21-1194-1791475949</doi_batch_id>
  <timestamp>20261008161229</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
   <email_address>admin@americaspg.com</email_address>
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  <registrant>American Scientific Publishing Group</registrant>
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  <journal>
   <journal_metadata language="en">
    <full_title>International Journal of Neutrosophic Science</full_title>
    <abbrev_title>IJNS</abbrev_title>
    <issn media_type="print">2692-6148</issn>
    <issn media_type="electronic">2690-6805</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2022</year>
    </publication_date>
    <journal_volume>
     <volume>18</volume>
    </journal_volume>
    <issue>4</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Distance of Similarity Measure under Neutrosophic Sets to Assess the Challenges of IoT in Supply Chain and COVID-19</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>R. Martínez</given_name>
      <surname>Martínez</surname>
      <affiliations>
       <institution>
        <institution_name>Docente de la Carrera de Medicina de la Universidad Regional Autónoma de los Andes (UNIANDES)</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>P. E. Acurio</given_name>
      <surname>Padilla</surname>
      <affiliations>
       <institution>
        <institution_name>Docente de la Carrera de Medicina de la Universidad Regional Autónoma de los Andes (UNIANDES)</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>J. E. Jami</given_name>
      <surname>Carrera</surname>
      <affiliations>
       <institution>
        <institution_name>Docente de la Carrera de Medicina de la Universidad Regional Autónoma de los Andes (UNIANDES)</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>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.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2022</year>
    </publication_date>
    <pages>
     <first_page>313</first_page>
     <last_page>322</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">1194</item_number>
    </publisher_item>
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     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
    </ai:program>
    <doi_data>
     <doi>10.54216/IJNS.180426</doi>
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