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  <doi_batch_id>aspg-21-375-1791472074</doi_batch_id>
  <timestamp>20261008150754</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
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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>2020</year>
    </publication_date>
    <journal_volume>
     <volume>5</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>A SVTrN-number approach of multi-objective optimisation on the basis of simple ratio analysis based on MCDM method</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>D.</given_name>
      <surname>Ajay</surname>
      <affiliations>
       <institution>
        <institution_name>Assistant Professor, Department of Mathematics, Sacred Heart Collge, Tirupattur District, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>S.</given_name>
      <surname>Abirami</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, Sacred Heart Collge, Tirupattur District, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>D. Jeni Seles</given_name>
      <surname>Martina</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, Sacred Heart Collge, Tirupattur District, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>An essential process in the study of human work behaviour or huma n resource management is the personnel selection/recruitment and a major challenge of an organization is to determine the most potential personnel. From this perspective, this paper tries to formulate MOOSRA approach in the neutrosophic environment to select potential personnel in organizations. The method proves to reduce complexity in computation and is comprehensible. An illustrative example is shown for better understanding of the proposed method.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2020</year>
    </publication_date>
    <pages>
     <first_page>16</first_page>
     <last_page>28</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">375</item_number>
    </publisher_item>
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     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
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    <doi_data>
     <doi>10.54216/IJNS.050102</doi>
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