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  <doi_batch_id>aspg-21-522-1791475359</doi_batch_id>
  <timestamp>20261008160239</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>2020</year>
    </publication_date>
    <journal_volume>
     <volume>8</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Online Analytical Processing Operations via Neutrosophic Systems</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>A. A.</given_name>
      <surname>Salama</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics and Computer Science, Faculty of Sciences, Port Said University Egypt</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>M.S.Bondok</given_name>
      <surname>Henawy</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics and Computer Science, Faculty of Sciences, Port Said University Egypt</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Rafif</given_name>
      <surname>Alhabib</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematical Statistics, Faculty of Science, Albaath University, Homs, Syria</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>In this paper, a neutrosophic fuzzy data warehouse modelling approach is presented to support the neutrosophic analysis of the publishing house for books which allows integration of neutrosophic concept in dimensions and facts without affecting the core of a crisp data warehouse. Also we describe a method is presented which includes guidelines that can be used to convert a crisp data warehouse into a neutrosophic fuzzy domain. Finally we have presented an OLAP system that implements a neutrosophic multidimensional model to represent imprecision using neutrosophic concept in hierarchies and facts and achieving knowledge discovery from imperfect data. The use of neutrosophic structures and the definition of the OLAP operations (roll-up, drill-down, slice, and dice) enable the model to manage the imprecision of data and hide the complexity of the model and provide the user with a more understandable result.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2020</year>
    </publication_date>
    <pages>
     <first_page>87</first_page>
     <last_page>109</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">522</item_number>
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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>10.54216/IJNS.080203</doi>
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