  <?xml version="1.0"?>
<journal>
 <journal_metadata>
  <full_title>International Journal of Neutrosophic Science</full_title>
  <abbrev_title>IJNS</abbrev_title>
  <issn media_type="print">2690-6805</issn>
  <issn media_type="electronic">2692-6148</issn>
  <doi_data>
   <doi>10.54216/IJNS</doi>
   <resource>https://www.americaspg.com/journals/show/2293</resource>
  </doi_data>
 </journal_metadata>
 <journal_issue>
  <publication_date media_type="print">
   <year>2020</year>
  </publication_date>
  <publication_date media_type="online">
   <year>2020</year>
  </publication_date>
 </journal_issue>
 <journal_article publication_type="full_text">
  <titles>
   <title>Enhancing neutrosophic fuzzy compromise approach for solving stochastic bi- level linear programming problems with right- hand sides of constraints follow normal distribution</title>
  </titles>
  <contributors>
   <organization sequence="first" contributor_role="author">Department of Mathematics, College of Science and Arts, Qassim University, Al- Badaya 51951, Saudi Arabia; Department of Operations and Management Research, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza 12613, Egypt</organization>
   <person_name sequence="first" contributor_role="author">
    <given_name>Hamiden Abd El- Wahed</given_name>
    <surname>Khalifa</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Department of Mathematics, Faculty of Education for Pure Sciences, University Of Anbar, Ramadi, Anbar, Iraq</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Faisal Al</given_name>
    <surname>Al-Sharqi</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Preparatory Year Deanship, King Faisal University, Hofuf, Al-Ahsa, 31982, Saudi Arabia</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Ashraf Al</given_name>
    <surname>Al-Quran</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">College of Computing, Informatics and Mathematics, UiTM Cawangan Negeri Sembilan, Kampus Seremban, 73000 Negeri Sembilan, Malaysia</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Zahari</given_name>
    <surname>Rodzi</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Department of Mathematics and Statistics, Institute for Management Information Systems, Suiz, Egypt</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Heba Ghareb</given_name>
    <surname>Goma</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Department of Accounting, College of Business, King Faisal University, Al-Ahsa 31982, Saudi Arabia; MEU Research Unit, Middle East University, Amman, Jordan; Applied Science Research Center, Applied Science Private University, Amman 11931, Jordan</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Abdalwali</given_name>
    <surname>Lutfi</surname>
   </person_name>
  </contributors>
  <jats:abstract xml:lang="en">
   <jats:p> In this paper, a bi-level chance constrained programming problem is considered when the coefficients of the objective function is presented as neutrosophic numbers and the right- hand side of the constraints is normal variables and the constraints have a joint probability distribution. While the probability problem and applying the score and accurate functions the problem is converted into an equivalent deterministic non- linear programming problem, a fuzzy programming approach is applied by defining membership function. A linear membership function is used for obtaining optimal compromise solution. A numerical example is given to illustrate the proposed methodology.</jats:p>
  </jats:abstract>
  <publication_date media_type="print">
   <year>2024</year>
  </publication_date>
  <publication_date media_type="online">
   <year>2024</year>
  </publication_date>
  <pages>
   <first_page>287</first_page>
   <last_page>298</last_page>
  </pages>
  <doi_data>
   <doi>10.54216/IJNS.230120</doi>
   <resource>https://www.americaspg.com/articleinfo/21/show/2293</resource>
  </doi_data>
 </journal_article>
</journal>
