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  <doi_batch_id>aspg-21-2457-1791475398</doi_batch_id>
  <timestamp>20261008160318</timestamp>
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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>2024</year>
    </publication_date>
    <journal_volume>
     <volume>23</volume>
    </journal_volume>
    <issue>3</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Neutrosophic Fuzzy Score Matrices: A Robust Framework for Advancing Medical Diagnostics</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Priya</given_name>
      <surname>Mathews</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, St Thomas College, Palai,Kerala, India.</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Lovelymol</given_name>
      <surname>Sebastian</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, St Thomas College, Palai,Kerala, India.</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Baiju</given_name>
      <surname>Thankachan</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal-576104, Karnataka,India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>In this paper, we introduce the Single-Valued Neutrosophic Fuzzy Matrix (SVNFM), which consists of entries that are all single-valued neutrosophic fuzzy sets (SVNFS). Our objective is to provide a practical tool for dealing with uncertain and indeterminate input. To achieve this, we first define a neutrosophic fuzzy matrix (NFM) and discuss its fundamental properties. The use of various operations in decision making is a notable characteristic of single-valued neutrosophic fuzzy matrices (SVNFMs). In this paper, we propose a multicriteria group decision-making method that incorporates novel operations on neutrosophic fuzzy matrices. Finally, we present a case study to demonstrate the effectiveness of the proposed strategy.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <pages>
     <first_page>08</first_page>
     <last_page>17</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">2457</item_number>
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     <doi>10.54216/IJNS.230301</doi>
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