  <?xml version="1.0"?>
<journal>
 <journal_metadata>
  <full_title>Journal of Intelligent Systems and Internet of Things</full_title>
  <abbrev_title>JISIoT</abbrev_title>
  <issn media_type="print">2690-6791</issn>
  <issn media_type="electronic">2769-786X</issn>
  <doi_data>
   <doi>10.54216/JISIoT</doi>
   <resource>https://www.americaspg.com/journals/show/3357</resource>
  </doi_data>
 </journal_metadata>
 <journal_issue>
  <publication_date media_type="print">
   <year>2019</year>
  </publication_date>
  <publication_date media_type="online">
   <year>2019</year>
  </publication_date>
 </journal_issue>
 <journal_article publication_type="full_text">
  <titles>
   <title>Enhancing Decision-Making in Uncertain Environments: The Role of Neutrosophic Cognitive Maps in Analyzing Complex Systems</title>
  </titles>
  <contributors>
   <organization sequence="first" contributor_role="author">Regional Autonomy University of Los Andes (UNIANDES), Ecuador</organization>
   <person_name sequence="first" contributor_role="author">
    <given_name>Jose</given_name>
    <surname>Jose</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Regional Autonomy University of Los Andes (UNIANDES), Ecuador</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Sheila Belen Esparza</given_name>
    <surname>Pijal</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Regional Autonomy University of Los Andes (UNIANDES), Ecuador</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Mónica Isabel Mora</given_name>
    <surname>Verdezoto</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Brigham Young University–Idaho, USA</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Lorenzo Cevallos</given_name>
    <surname>Cevallos-Torres</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Research and Innovations Department, Tashkent State University of Economics, Uzbekistan</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Sanjar</given_name>
    <surname>Mirzaliev</surname>
   </person_name>
  </contributors>
  <jats:abstract xml:lang="en">
   <jats:p>Using Neutrosophic Cognitive Maps (NCM), this research tackles the very core of one of the main problems that exist in the analysis of complex structures and systems: how to represent and model decision making in situations of uncertainty, or where there is contradiction and ambiguity. This problem gets even worse in the areas of knowledge management, strategic evaluation, or design of public policies since orthodox methods do not always possess required versatility for combining partially available or contradicting information. To address this challenge, the researchers recommend Neutrosophic Cognitive Maps (NCM) as a more appropriate technique considering that the neutrosophic logic can depict and study more intricate relationships in the presence of indeterminacy. There is an iterative learning of cognitive maps which is coupled with neutrosophic analysis techniques enabling the construction of a comprehensive model capturing both certainties and the undefined and disputed areas of the evaluated systems. The findings obtained in this research demonstrate how effective NCMs are in the spatial and analytic representation of complex and multifactorial situations providing features that go beyond the conventional structure models. Apart from broadening theorization on decision-making processes in an uncertain situation, this research provides practical tools applicable in sectors such as strategic planning, complex problem solving and organizational management. In short, the study shows that neutrosophic, used as a methodological catalyst, not only expands the possibilities of analysis but also transforms how complex systems are conceptualized and managed in the academic and practical fields.</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>292</last_page>
  </pages>
  <doi_data>
   <doi>10.54216/JISIoT.130121</doi>
   <resource>https://www.americaspg.com/articleinfo/18/show/3357</resource>
  </doi_data>
 </journal_article>
</journal>
