Volume 14 , Issue 1 , PP: 259-266, 2024 | Cite this article as | XML | Html | PDF | Full Length Article
Leonso Dagoberto Torres Torres 1 * , Milena Elizabeth Alvarez Tapia 2 , Paul Orlando Piray Rodríguez 3 , Aymuxammedova Amina Kakajanovna 4
Doi: https://doi.org/10.54216/JCIM.140118
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.
Composite index , Information fusion , Shannon entropy , Uncertainty , Complex data analysis , Information integration , Decision making , Information systems , Risk management , Public policy evaluation
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