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  <doi_batch_id>aspg-21-3624-1791472404</doi_batch_id>
  <timestamp>20261008151324</timestamp>
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   <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>2025</year>
    </publication_date>
    <journal_volume>
     <volume>26</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Pentapartitioned Neutrosophic Dombi Weighted Aggregation Operator for MADM</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>R.</given_name>
      <surname>Radha</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Science and Humanities, Karpagam College of Engineering, Coimbatore, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>R.</given_name>
      <surname>Rajalakshmi</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, Panimalar Engineering College, Chennai, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>B.</given_name>
      <surname>Indhumathi</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, Akshaya College of Engineering and Technology, Coimbatore, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>R.</given_name>
      <surname>Poornima</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Science and Humanities, Hindusthan College of Engineering and Technology, Coimbatore, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>M.</given_name>
      <surname>Karthika</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, Bannari Amman Institute of Technology, Erode, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>M. Mary Victoria</given_name>
      <surname>Florence</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, Panimalar Engineering College, Chennai, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>This paper introduces the concept of Pentapartitioned Neutrosophic Numbers (PNNs) and proposes score and accuracy functions to effectively rank PNNs based on their score values. Utilizing the adaptability of Dombi operators to accommodate various parameters, the study applies these operators to address complex Multicriteria Attribute Group Decision Making (MAGDM) problems. To achieve precise aggregation under neutrosophic conditions, Dombi T-norm and T-conorm operations for two PNNs are defined. Building upon these Dombi operations, the paper presents two weighted aggregation operators—PNDWAA (Pentapartitioned Neutrosophic Dombi Weighted Arithmetic Average) and PNDWGA (Pentapartitioned Neutrosophic Dombi Weighted Geometric Average)—and investigates their properties within the pentapartitioned neutrosophic environment. Furthermore, the study explores a Multicriteria Attribute Decision Making (MADM) approach that utilizes either the PNDWAA or PNDWGA operators for decision-making.An illustrative example is provided to demonstrate the proposed method, offering a detailed step-by-step process that highlights the effectiveness of the approach in determining the optimal alternative based on ranking order.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2025</year>
    </publication_date>
    <pages>
     <first_page>159</first_page>
     <last_page>170</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">3624</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.260114</doi>
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