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  <doi_batch_id>aspg-21-2033-1791468669</doi_batch_id>
  <timestamp>20261008141109</timestamp>
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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>2023</year>
    </publication_date>
    <journal_volume>
     <volume>22</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Neutrosophic Monte Carlo Simulation Approach for Decision Making In Medical Diagnostic Process Under Uncertain Environment</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>M. K.</given_name>
      <surname>Sharma</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, Ch. Charan Singh University, Meerut, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Nitesh</given_name>
      <surname>Dhiman</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, Ch. Charan Singh University, Meerut, India; Department of Mathematics, Zakir Husain Delhi College, New Delhi, India-110002</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Shubham</given_name>
      <surname>Kumar</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, Ch. Charan Singh University, Meerut, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Laxmi</given_name>
      <surname>Rathour</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, National Institute of Technology, Chaltlang, Aizawl 796 012, Mizoram, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Vishnu Narayan</given_name>
      <surname>Mishra</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, Indira Gandhi National Tribal University, Lalpur, Amarkantak, Anuppur, Madhya Pradesh 484 887, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>This work emphasis on the basic notions regarding the Neutrosophic Fuzzy Sets (NFSs) with operations and their applicability in medical diagnostic process. In this manuscript, we developed neutrosophic fuzzy set-based Monte Carlo simulation technique for the decision making in medical diagnostic processin fuzzy environment. In this work, we managed the waiting time and idle time of the doctor during the treatment process of the patients. The various parameters are stated as linguistic variable in the form of NFSs. The developed neutrosophic Monte Carlo simulation technique (NMCST) is extended in the planning strategy of a doctor to treat the patient in a neutrosophic fuzzy environment. For the validation and authentication of the efficiency of the proposed NMCST, numerical computations are carried out with the examples of medical problems.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <pages>
     <first_page>08</first_page>
     <last_page>16</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">2033</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/IJNS.220101</doi>
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