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  <doi_batch_id>aspg-31-2994-1791686566</doi_batch_id>
  <timestamp>20261011024246</timestamp>
  <depositor>
   <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>2024</year>
    </publication_date>
    <journal_volume>
     <volume>6</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Multi-Criteria Decision-Making Methodology for Sustainable Crop Selection</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Ahmad</given_name>
      <surname>Khaldi</surname>
      <affiliations>
       <institution>
        <institution_name>Mutah University, Faculty of Science, Jordan</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Murat</given_name>
      <surname>Ozcek</surname>
      <affiliations>
       <institution>
        <institution_name>Gaziantep University, Department of Mathematics, Gaziantep, Turkey</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>Choosing the best biomass crop option for producing biofuel requires a decision-making model because of the many factors involved, the subjective nature of human judgement, and the inherent unpredictability. The neutrosophic type 2 is a valuable tool for handling the ambiguous, inconsistent, and uncertain data often appearing in real-world decision-making situations. Therefore, this study aims to provide a new framework for weighted aggregated sum product assessment (WASPAS) that can be used to solve multi-criteria decision-making (MCDM) issues using neutrosophic type 2 data. The criteria weights are computed. The results show the economic factor has the highest importance in all requirements. This study used nine criteria and twenty alternatives. The WASPAS method was used to rank the other options. The sensitivity analysis is performed under different cases to show the stability of the results. The results show the rank is stable under different cases in this study.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <pages>
     <first_page>50</first_page>
     <last_page>61</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">2994</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/IJAACI.060105</doi>
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