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  <doi_batch_id>aspg-21-4155-1791468681</doi_batch_id>
  <timestamp>20261008141121</timestamp>
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   <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>2026</year>
    </publication_date>
    <journal_volume>
     <volume>27</volume>
    </journal_volume>
    <issue>1</issue>
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   <journal_article publication_type="full_text">
    <titles>
     <title>Neutrosophic Signed Domination Function of Graphs</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Duraisamy</given_name>
      <surname>Kumar</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, SRM TRP Engineering College, Tiruchirappalli-621105, Tamil Nadu, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Florentin</given_name>
      <surname>Smarandache</surname>
      <affiliations>
       <institution>
        <institution_name>University of New Mexico, Gallup Campus, NM 87301, USA</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>This paper introduces the novel concept of a Neutrosophic Signed Domination Function (NSDF) of graphs, generalizing classical domination by assigning each vertex a triple-valued influences (truth, indeterminacy, falsity) from {−1, 0, 1}. We define the Neutrosophic Signed Domination Number γns(G) as the optimal weighted sum under neighborhood constraints ensuring net positive influence. Fundamental properties and sharp bounds for general graphs are established. Exact values for γns(G) are determined for paths and cycles. This work bridges neutrosophic logic with domination theory, enabling sophisticated modeling of complex networks with uncertainty.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2026</year>
    </publication_date>
    <pages>
     <first_page>296</first_page>
     <last_page>308</last_page>
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     <item_number item_number_type="article-number">4155</item_number>
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     <doi>10.54216/IJNS.270126</doi>
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