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  <doi_batch_id>aspg-31-2062-1791686991</doi_batch_id>
  <timestamp>20261011024951</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 Advances in Applied Computational Intelligence</full_title>
    <abbrev_title>IJAACI</abbrev_title>
    <issn media_type="electronic">2833-5600</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <journal_volume>
     <volume>4</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Neutrosophic MCDM Model for Evaluation and Selection best 5G Network Architecture</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Myvizhi</given_name>
      <surname>M.</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, KPR Institute of Engineering and Technology, Coimbatore, Tamilnadu, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>Understanding the efficacy, efficiency, and viability of 5G network design in addressing the needs of the current digital age relies heavily on its assessment. This paper summarizes the assessment of 5G network design, including the evaluation methodology, evaluation techniques, and major conclusions. Infrastructure needs, network capacity, security, interoperability, and cost-effectiveness are just some of the topics it brings up. In order to overcome obstacles and guarantee 5G's effective deployment and performance in real-world settings, the abstract finishes by stressing the need of constant review and improvement of network design. This paper used the single valued neutrosophic set to overcome the uncertain data in evaluation 5G network architecture. The single valued neutrosophic set integrated with multi-criteria decision making (MCDM) tools to evaluate and select best 5G network architecture. The single valued neutrosophic TOPSIS method used to select best 5G network architecture.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <pages>
     <first_page>08</first_page>
     <last_page>18</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">2062</item_number>
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     <doi>10.54216/IJAACI.040101</doi>
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