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  <doi_batch_id>aspg-21-3636-1791465331</doi_batch_id>
  <timestamp>20261008131531</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>
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   <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>A Generalized Directed Divergence of Fuzzy Entropy</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Vaishali Manish</given_name>
      <surname>Joshi</surname>
      <affiliations>
       <institution>
        <institution_name>Symbiosis Institute of Technology, Symbiosis International(Deemed University), Pune, 412115, India; Dr. Vishwanath Karad MIT World Peace University, Pune, 411038, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Javid Gani</given_name>
      <surname>Dar</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Applied Sciences, Symbiosis Institute of Technology, Symbiosis International(Deemed University), Pune, 412115, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>In the present paper, we introduced a new generalized parametric measure of fuzzy directed divergence of order σ with the proof of its validity. The particular case and some elegant properties of fuzzy directed divergence measure are studied. Total ambiguity, fuzzy information improvement measure and reduction in improvement measure are given for the proposed measure. A comparative study of proposed measure with existing generalized fuzzy directed divergence measure is computed numerically and represented by using graphical representation. The application of proposed fuzzy directed divergence measure in multi criteria decision making problem is demonstrated by using numerical example.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2025</year>
    </publication_date>
    <pages>
     <first_page>311</first_page>
     <last_page>321</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">3636</item_number>
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     <doi>10.54216/IJNS.260126</doi>
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