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  <doi_batch_id>aspg-21-1426-1791475401</doi_batch_id>
  <timestamp>20261008160321</timestamp>
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   <depositor_name>American Scientific Publishing Group</depositor_name>
   <email_address>admin@americaspg.com</email_address>
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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>2023</year>
    </publication_date>
    <journal_volume>
     <volume>20</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Plıthogenıc Combıned Dısjoınt Block Fuzzy Cognıtıve Maps (Pcdbfcm)</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>S.</given_name>
      <surname>Gomathy</surname>
      <affiliations>
       <institution>
        <institution_name>Research Scholar (Part Time), K.C.S Kasi Nadar College of Arts and Science, Chennai, India;Department of Mathematics, Hindustan Institute of Technology and Science, Chennai, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>A.</given_name>
      <surname>Rajkumar</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, Hindustan Institute of Technology and Science, Chennai, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>D.Nagarajan</given_name>
      <surname></surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, Rajalakshmi Institute of Technology, Chennai, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>broumi</given_name>
      <surname>said</surname>
      <affiliations>
       <institution>
        <institution_name>Laboratory of Information Processing, Faculty of Science Ben M’Sik, University of Hassan II, Casablanca, Morocco</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>This research article represents an innovative concept in Plithogenic Combined Disjoint Block Fuzzy Cognitive Maps (PCDBFCM) and its applications. PCDBFCM is a very useful tool in grouping the factors with contradiction degree of multiple attributes. A plithogenic fuzzy matrix is used to represent the connection matrix. The resultant vector is obtained while using plithogenic fuzzy operators. The produced results are very useful in making decisions since they include the degree of conceptual node contradiction with respect to the dominant node. For the plithogenic aggregation operators, the degree of dissimilarity between each attribute value and the main attribute value of the attribute leads to increased accuracy.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <pages>
     <first_page>08</first_page>
     <last_page>16</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">1426</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.200101</doi>
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