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  <doi_batch_id>aspg-24-884-1791482491</doi_batch_id>
  <timestamp>20261008180131</timestamp>
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  <journal>
   <journal_metadata language="en">
    <full_title>Journal of Neutrosophic and Fuzzy Systems</full_title>
    <abbrev_title>JNFS</abbrev_title>
    <issn media_type="print">2771-6430</issn>
    <issn media_type="electronic">2771-6449</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2021</year>
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    <journal_volume>
     <volume>1</volume>
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    <issue>1</issue>
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    <titles>
     <title>Anti-Geometry and NeutroGeometry Characterization of Non-Euclidean Data</title>
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    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Prem Kumar</given_name>
      <surname>Singh</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Computer Science and Engineering, Gandhi Institute of Technology and Management-Visakhapatnam, Andhra Pradesh 530045, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>Recently, a problem is addressed while dealing with fourth dimensional or non-Euclidean data sets. These are the data sets does not follow one of the postulates established by Euclid specially the parallel postulates. In this case, the precise representation of these data sets is major issues for knowledge processing tasks. Hence, the current paper tried to introduce some non-Euclidean geometry or Anti-Geometry methods and its examples for various applications.</jats:p>
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    <publication_date media_type="online">
     <year>2021</year>
    </publication_date>
    <pages>
     <first_page>24</first_page>
     <last_page>33</last_page>
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     <item_number item_number_type="article-number">884</item_number>
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     <doi>10.54216/JNFS.010102</doi>
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