Journal of Cybersecurity and Information Management
  JCIM
  2690-6775
  2769-7851
  
   10.54216/JCIM
   https://www.americaspg.com/journals/show/3374
  
 
 
  
   2019
  
  
   2019
  
 
 
  
   Proposal for the use of the neutrosophic method of Shannon entropy
  
  
   Regional Autonomous University of Los Andes Santo Domingo, Ecuador
   
    Leonso
    Leonso
   
   Regional Autonomous University of Los Andes Tulcán, Ecuador
   
    Milena Elizabeth Alvarez
    Tapia
   
   Regional Autonomous University of Los Andes Riobamba, Ecuador
   
    Paul Orlando Piray RodrĂ
    RodrĂguez
   
   Tashkent State University of Economics, Uzbekistan
   
    Aymuxammedova Amina
    Kakajanovna
   
  
  
   The authors suggest a new approach to create a composite index by fusing of information as well as applying Shannon Entropy but ready under one challenge that exists when it comes to understanding the complex nature of the exercising data and that is integrating information from different sources that are distinct and provide different facets of an estimation into one single best. In that sense, the modern world of information system is one which has to work with data which is in most cases erroneous and sometimes even contradictory, then the perspective of fusing at such information in a fruitful manner becomes very important. However, such information is not always available as it is only after the uncertainty of the relevant data has been difficult to make optimal use of decision making ability of a model. This paper goes some way to assisting with that issue and describes a framework that involves multiple information sources as well as how information entropy models the data uncertainty. The method put forward in the study employs the integration of information fusion with the application of Shannon entropy computation to come up with a composite index that best represents the particular system of interest in terms of its intricacy and the amount of uncertainty associated with it. Furthermore, the application of this composite index has practical implications in various areas, such as risk management, business decision-making and public policy evaluation, where precision in information integration is crucial to achieve effective results.
  
  
   2024
  
  
   2024
  
  
   259
   266
  
  
   10.54216/JCIM.140118
   https://www.americaspg.com/articleinfo/2/show/3374