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  <doi_batch_id>aspg-21-3825-1791472402</doi_batch_id>
  <timestamp>20261008151322</timestamp>
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   <depositor_name>American Scientific Publishing Group</depositor_name>
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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>2025</year>
    </publication_date>
    <journal_volume>
     <volume>26</volume>
    </journal_volume>
    <issue>3</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Computational Approaches for Nonlinear Fractional Differential Problems Utilizing Chebyshev Polynomial Approximations Space with Neutrosophic Applications</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Abdulsalam</given_name>
      <surname>Al-Dulaimi</surname>
      <affiliations>
       <institution>
        <institution_name>School of Mathematical Sciences, University Sains Malaysia, 11800 Penang, Malaysia</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Amirah</given_name>
      <surname>Azmi</surname>
      <affiliations>
       <institution>
        <institution_name>School of Mathematical Sciences, University Sains Malaysia, 11800 Penang, Malaysia</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Yaseen S.</given_name>
      <surname>R.</surname>
      <affiliations>
       <institution>
        <institution_name>Tikrit university, College of Education for Pure Science, Tikrit, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>Applying Chebyshev polynomial approximate results, this paper applies the idea of neutrophilic logic to the approach to partially differential equations (FPDEs). Three elements make up the Neutrosophic technique: Indeterminacy (I), Falsehood (F), and Truth (T). These three elements are appropriate for issues where precise values or distinct limits are lacking since they are utilized to represent ambiguity, vagueness, and imperfect truth in mathematical models. We improve the depiction of real-world occurrences that could contain unclear or ambiguous information by adding these values to the coefficients of FPDEs. In domains like material science, mechanical engineering, and biological phenomena, where uncertainty is inevitable, the use of neutrophilic logic enables a more thorough and precise approximation of approaches to complicated fractional differential equations. The findings show that when working with systems that have unknown characteristics, the Neutrosophic technique increases the accuracy and dependability of computations.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2025</year>
    </publication_date>
    <pages>
     <first_page>339</first_page>
     <last_page>358</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">3825</item_number>
    </publisher_item>
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     <doi>10.54216/IJNS.260325</doi>
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