Cognitive Modeling and Formation of the Knowledge Base of the Information System for Assessing the Rating of Enterprises
Kryvoruchko O. Desiatko A. Karpunin I. Hnatchenko D. Lakhno M. Malikova F. Turdaliev A.
2023Polska Akademia Nauk
International Journal of Electronics and Telecommunications
2023#69Issue 4697 - 705 pp.
A mathematical model is proposed that makes it possible to describe in a conceptual and functional aspect the formation and application of a knowledge base (KB) for an intelligent information system (IIS). This IIS is developed to assess the financial condition (FC) of the company. Moreover, for circumstances related to the identification of individual weakly structured factors (signs). The proposed model makes it possible to increase the understanding of the analyzed economic processes related to the companys financial system. An iterative algorithm for IIS has been developed that implements a model of cognitive modeling. The scientific novelty of the proposed approach lies in the fact that, unlike existing solutions, it is possible to adjust the structure of the algorithm depending on the characteristics of a particular company, as well as form the information basis for the process of assessing the companys FC and the parameters of the cognitive model.
Alona Desiatko , artificial neural networks , audit , Bayesian network , Dmytro , Igor Karpunin , information security , Olena Kryvoruchko
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State University of Trade and Economics, Kyiv, Ukraine
National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine
Almaty Technological University, Almaty, Kazakhstan
University of Railways and Transportation, Almaty, Kazakhstan
State University of Trade and Economics
National University of Life and Environmental Sciences of Ukraine
Almaty Technological University
University of Railways and Transportation
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