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  <doi_batch_id>aspg-3-2452-1791419241</doi_batch_id>
  <timestamp>20261008002721</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
   <email_address>admin@americaspg.com</email_address>
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  <registrant>American Scientific Publishing Group</registrant>
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  <journal>
   <journal_metadata language="en">
    <full_title>Fusion: Practice and Applications</full_title>
    <abbrev_title>FPA</abbrev_title>
    <issn media_type="print">2770-0070</issn>
    <issn media_type="electronic">2692-4048</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <journal_volume>
     <volume>14</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Teaching risk assessment index system using neutrosophic AHP: Data Fusion method</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Gustavo Alvarez</given_name>
      <surname>Gómez</surname>
      <affiliations>
       <institution>
        <institution_name>Autonomous Regional University of the Andes (UNIANDES), Ecuador</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Corona Gómez</given_name>
      <surname>Armijos</surname>
      <affiliations>
       <institution>
        <institution_name>Autonomous Regional University of the Andes (UNIANDES), Ecuador</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Ariel Romero</given_name>
      <surname>Fernández</surname>
      <affiliations>
       <institution>
        <institution_name>Autonomous Regional University of the Andes (UNIANDES), Ecuador</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Asmaa</given_name>
      <surname>Ahmed</surname>
      <affiliations>
       <institution>
        <institution_name>College of Humanities and Sciences, University of Science and Technology of Fujairah, UAE and Faculty of Social Work, Assiut University, Egypt</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>The technology behind data fusion and picture instruction is continuously advancing along with the progression of society, and new applications for these skills are increasingly becoming available in everyday life to accommodate the expansion of scientific and technological knowledge. The term &quot;data fusion technology&quot; relates to a computer processing method that allows the use of a computer to automatically analyze and synthesize several observation data gleaned in time series in accordance with criteria to complete the necessary decision-making and evaluation tasks. But teaching surrounding multiple risks. This paper aims to identify and assess risks in teaching. The assessment risks in teaching are a critical task and contain multiple conflict criteria. We use Multi-Criteria Decision Making (MCDM). In this paper, we use an Analytical Hierarchy Process (AHP) to rank and compute each criterion's weights. We use five main and twenty sub-criteria. These criteria were evaluated under a neutrosophic environment—an example provided to present the outcomes of the proposed model.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <pages>
     <first_page>199</first_page>
     <last_page>210</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">2452</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/FPA.140216</doi>
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