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  <doi_batch_id>aspg-21-1374-1791475950</doi_batch_id>
  <timestamp>20261008161230</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
   <email_address>admin@americaspg.com</email_address>
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  <registrant>American Scientific Publishing Group</registrant>
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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>2022</year>
    </publication_date>
    <journal_volume>
     <volume>19</volume>
    </journal_volume>
    <issue>3</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Square root Diophantine neutrosophic normal interval-valued sets and their aggregated operators in application to multiple attribute decision making</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>M.</given_name>
      <surname>Palanikumar</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, Saveetha School of Engineering, Saveetha University, Saveetha Institute of Medical and Technical Sciences, Chennai-602105, India</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 MSik, University of Hassan II, Casablanca, Morocco</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>We discuss innovative square root Diophantine neutrosophic normal interval-valued set (SRDioNSNIVS)-</jats:p>
     <jats:p>based approaches to multiple attribute decision-making (MADM) problems. Square root neutrosophic sets,</jats:p>
     <jats:p>interval-valued Diophantine neutrosophic sets and neutrosophic normal interval-valued (NSNIV) sets are both</jats:p>
     <jats:p>extensions of square root Diophantine neutrosophic sets. In this section, we will look over several aggregating</jats:p>
     <jats:p>operations and how those interpretations have evolved over time. The article is focused on a novel idea known</jats:p>
     <jats:p>as square root NSNIV weighted averaging (SRDioNSNIVWA), square root NSNIV weighted geometric (SRDioNSNIVWG),</jats:p>
     <jats:p>generalized square root NSNIV weighted averaging (GSRDioNSNIVWA), and generalized</jats:p>
     <jats:p>square root NSNIV weighted geometric (GSRDioNSNIVWG). In order to solve MADM problems, we also</jats:p>
     <jats:p>begin an algorithm based on the aforementioned operators. The use of the euclidean and hamming distances</jats:p>
     <jats:p>is described, and examples from real-world situations are given. The main characteristics of these sets under</jats:p>
     <jats:p>various algebraic operations will be discussed in this communication. They are more practical and straightforward,</jats:p>
     <jats:p>and the ideal choice may be determined quickly. As a result, the defined models are more accurate</jats:p>
     <jats:p>and closely tied to Φ. In order to show the reliability and usefulness of the models under examination, we also</jats:p>
     <jats:p>compare a few of the proposed and current models. The study’s results are also fascinating and intriguing.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2022</year>
    </publication_date>
    <pages>
     <first_page>63</first_page>
     <last_page>84</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">1374</item_number>
    </publisher_item>
    <ai:program name="AccessIndicators">
     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
    </ai:program>
    <doi_data>
     <doi>10.54216/IJNS.190307</doi>
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       <resource mime_type="application/pdf">https://www.americaspg.com/storage/3777.pdf</resource>
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