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  <doi_batch_id>aspg-21-3558-1791468719</doi_batch_id>
  <timestamp>20261008141159</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>2025</year>
    </publication_date>
    <journal_volume>
     <volume>25</volume>
    </journal_volume>
    <issue>4</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>The Analysis of Pentagonal Fuzzy Numbers in a Neutrosophic Fuzzy Inventory Management Modelling with Minimal Insufficient Supply Required and Fuzzy Consumption</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Kalaiarasi</given_name>
      <surname>K.</surname>
      <affiliations>
       <institution>
        <institution_name>PG &amp; Research Department of Mathematics, Cauvery College for Women (Autonomous), Tiruchirappalli, Tamil Nadu, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Nasreen</given_name>
      <surname>Kausar</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, Faculty of Arts and Science, Balikesir University, 10145 Balikesir, T¨urkiye</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Said</given_name>
      <surname>Broumi</surname>
      <affiliations>
       <institution>
        <institution_name>Laboratory of Information Processing, Faculty of Science Ben M’Sik, University of Hassan II, Casablanca, Morocco; STIE Team, Regional Center for the Professions of Education and Training (C.R</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Tonguc</given_name>
      <surname>Cagin</surname>
      <affiliations>
       <institution>
        <institution_name>College of Business Administration, American University of the Middle East, Kuwait</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>The fuzzy stock administration demonstrates displayed in this work employments neutrosophic set hypothesis, pentagonal fuzzy numbers, and the Graded mean Integration Representation (GMIR) strategy for defuzzification. Request rates, arrange amounts, utilization rates, holding costs, setup costs, and deficiency costs are all spoken to as fuzzy parameters within the demonstrate to account for the inborn instability and vacillation. To reduce by and large costs, the whole cost work is calculated, taking setup, holding, and shortage costs into consideration. In arrange to speak to the combined impacts of a few fetched components, the overall taken a toll work is rearranged and the ideal arrange amount is built up beneath fuzzy conditions utilizing pentagonal fuzzy parameters. The demonstrate is assessed beneath different degrees of instability through a case-based investigation, advertising an exhaustive system for making choices on stock administration in equivocal and dubious circumstances. The results appear how versatile and capable the show is for improving fetched advancement and stock control.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2025</year>
    </publication_date>
    <pages>
     <first_page>472</first_page>
     <last_page>483</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">3558</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.250440</doi>
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