2026· CITA-DW· pp. 30-42· 0 citations· 16 references
Computer Science
TL;DR
A decision support system for monitoring performance and detecting risks of underperformance within companies and organizations, based on a hybrid data-mining approach, combining K-Means clustering with business rules to detect underperformance risks.
The article discusses in detail the approaches to modern DSS and also presents mathematical tools based on determining the unity of numerical information for such systems – determining the degree of determinism of models through the coefficients of emergence.
S. Prokopchina, L. Zvyagin· Computational nanotechnology· 0 citations
The article develops a risk-based approach to managing the risks associated with artificial intelligence models in banks, with a focus on ensuring their safe and controlled use in financially material decision-making. The methodological framework of the study combines structural-functional decomposition, matrix mapping...
A. V. Hrabariev· Scientific Notes of Lviv Uni...· 0 citations
The article examines the use of business intelligence technologies for management decision support in a hypothetical commercial organization. Financial and operational indicators of five divisions are integrated into a common information model. To validate the design, a twelve-month synthetic dataset was created and a...
F. Shpagin· Science City: science, produ...· 0 citations
The article examines the potential of artificial intelligence to optimize management processes and improve decision-making in large organizations and proposes a conceptual AI-based management framework that integrates data sources, analytical models, and decision support systems into a unified adaptive cycle with a fee...
Serhii Kubitskyi, Y. Kozlovskyi, K. Balabukha et al.· Human Resources Management a...· 0 citations
The author's focus is on assessing the real economic effect of integrating Big Data tools based on theoretical principles and empirical experience of domestic market leaders and it is noted that the close symbiosis of management expertise and machine intelligence is being established as a basic criterion for the viabil...
Maria Shmygina· Science City: science, produ...· 0 citations
In the modern digital financial system, financial transactions are carried out on an unprecedented scale, making it prone to various types of fraud. It is essential that the real-time fraud detection systems must be accurate and interpretable. Three of the most commonly used Multi-Criteria Decision-Making (MCDM) method...
Mayank Bansal, Mithlesh Yadav, Mayank Hete et al.· 2026 International Conferenc...· 0 citations
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