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  <doi_batch_id>aspg-21-2657-1791475246</doi_batch_id>
  <timestamp>20261008160046</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>2024</year>
    </publication_date>
    <journal_volume>
     <volume>24</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Computer purchasing using new type neutrosophic sets and its extension based on aggregation operators</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Ibraheem Abu</given_name>
      <surname>Falahah</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, Faculty of Science, The Hashemite University P.O. Box 330127, Zarqa, 13133, Jordan</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>T. T.</given_name>
      <surname>Raman</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, St. Joseph’s Institute of Technology, OMR, Chennai-600119, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Abdallah</given_name>
      <surname>Al-Husban</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, Faculty of Science and Technology, Irbid National University, P.O. Box: 2600 Irbid, Jordan</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Ayman</given_name>
      <surname>Alahmade</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, College of Science and Art, AlUla branch, Taibah University, Medina, Saudi Arabia</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>S.</given_name>
      <surname>Azhaguvelavan</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, Dr.R.K. Shanmugam College of Arts and Science, Indili, Kallakurichi</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Murugan</given_name>
      <surname>Palanikumar</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai-602105, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>This article discusses a new approach to multiple attribute decision-making (MADM) based on (l1, l2, l3) neutrosophic sets (NS). This is an extension of the NS. Neuosophic weighted averaging (NWA), neutrosophic weighted geometrics (NWG), generalized neutrosophic weighted averaging (GNWA), and generalized neutrosophic weighted geometrics (GNWG) are the topics of this article. The flowchart we presented during our discussion showed an algorithm that used these operators. Numerical examples are provided for the extended Euclidean and Hamming distance measures. As part of this communication, we will also elaborate on the properties of neutrosophic sets, such as their idempotency, their boundness, their commutativity, and their monotonicity. They make it quicker, easier, and more convenient to find the best option. Thus, there is a stronger connection between (l1, l2, l3) and more precise conclusions. Some of the current models are compared with those that have been proposed in order to demonstrate their dependability and utility. The study also revealed fascinating and intriguing findings.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <pages>
     <first_page>171</first_page>
     <last_page>185</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">2657</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.240116</doi>
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