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  <doi_batch_id>aspg-31-1865-1791686790</doi_batch_id>
  <timestamp>20261011024630</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>2022</year>
    </publication_date>
    <journal_volume>
     <volume>2</volume>
    </journal_volume>
    <issue>2</issue>
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   <journal_article publication_type="full_text">
    <titles>
     <title>Single Valued Neutrosophic Set for Selection of Water Supply in Intelligent Farming</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Taif Khalid</given_name>
      <surname>Shakir</surname>
      <affiliations>
       <institution>
        <institution_name>Ascencia Business School, College de Paris, France</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Ahmed N. Al</given_name>
      <surname>Masri</surname>
      <affiliations>
       <institution>
        <institution_name>American University in the Emirates, Dubai, United Arab Emirates</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>One of the most difficult problems in the water business is the oversight and strategic planning of basin-based water supplies. Governments are concerned with ensuring equitable growth by addressing issues like water scarcity, improving agricultural products, and supporting nutritional health. The primary contribution of this research is the introduction of a methodology for assessing agricultural water delivery systems that allow for collaboration among all stakeholders. The managing the water supply is a MADM. Multi-attribute decision-making (MADM) issues, which are characterized by inadequacy and ambiguity, may be efficiently described using single-valued neutrosophic sets (SVNSs). Several strategies, including the PROMETHEE strategy, are offered to address the MADM issue in SVNSs. The PROMETHEE technique ranks potential solutions by first having the decision maker pick a preferred function for every criterion. In this paper, the SVNS is integrated with the PROMETHEE method for water supply management in smart farming.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2022</year>
    </publication_date>
    <pages>
     <first_page>37</first_page>
     <last_page>44</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">1865</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/IJAACI.020204</doi>
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