aspg-2-3374-1791416962 20261007234922 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Cybersecurity and Information Management JCIM 2769-7851 2690-6775 2024 14 1 Leonso Dagoberto Torres Torres Regional Autonomous University of Los Andes Santo Domingo, Ecuador Milena Elizabeth Alvarez Tapia Regional Autonomous University of Los Andes Tulcán, Ecuador Paul Orlando Piray Rodríguez Regional Autonomous University of Los Andes Riobamba, Ecuador Aymuxammedova Amina Kakajanovna Tashkent State University of Economics, Uzbekistan 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 259 266 3374 https://creativecommons.org/licenses/by/4.0/ 10.54216/JCIM.140118 https://www.americaspg.com/journal/2/article/3374 https://www.americaspg.com/storage/71741266828.pdf