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  <doi_batch_id>aspg-34-3863-1791485083</doi_batch_id>
  <timestamp>20261008184443</timestamp>
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  <journal>
   <journal_metadata language="en">
    <full_title>Prospects for Applied Mathematics and Data Analysis</full_title>
    <abbrev_title>PAMDA</abbrev_title>
    <issn media_type="electronic">2836-4449</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2024</year>
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     <volume>4</volume>
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    <issue>1</issue>
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    <titles>
     <title>HyperRough Cubic Set and SuperhyperRough Cubic Set</title>
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    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Takaaki</given_name>
      <surname>Fujita</surname>
      <affiliations>
       <institution>
        <institution_name>Independent Researcher, Shinjuku, Shinjuku-ku, Tokyo, Japan</institution_name>
       </institution>
      </affiliations>
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    </contributors>
    <jats:abstract>
     <jats:p>Rough sets provide a mathematical framework for approximating subsets using lower and upper bounds determined by equivalence relations, effectively modeling uncertainty in classification and data analysis. These foundational concepts have been further extended to structures such as Hyperrough Sets and Superhyperrough Sets. In this paper, we introduce the definitions of Hyperrough Cubic Sets and Superhyperrough Cubic Sets, and explore their fundamental properties. We hope that these developments will promote further research into applications such as decision-making based on Rough Set Theory and its extensions.</jats:p>
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    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <pages>
     <first_page>18</first_page>
     <last_page>22</last_page>
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     <item_number item_number_type="article-number">3863</item_number>
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     <doi>10.54216/PAMDA.040103</doi>
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