Smart technologies of the risk-management and decision-making systems in a fuzzy data environment
Marzhan Y. Talshyn K. Kairat K. Saule B. Karlygash A. Yerbol O.
December 2022Institute of Advanced Engineering and Science
Indonesian Journal of Electrical Engineering and Computer Science
2022#28Issue 31463 - 1474 pp.
The purpose of this article is to provide a methodology for calculating and predicting the quality of solution implementation in complicated multiparametric organizational and technological challenges with control agent uncertainty. The articles study findings are centered on the practical application of formal methods in predicting the outcomes of control and decision-making risks under the uncertainty of model agents. The proposed mathematics and simulation applications use a multi-agent strategy to handle the general problem of assessing quality control based on producer risk (project customer) and user risk. Computer experiments with simultaneous graphical visualization of the results improve the accuracy of mathematical modeling, increasing the studys effectiveness. Under the uncertainty of system agents, a simulation model has been designed to analyze and anticipate the dependability of control and the hazards of decision-making. The suggested model is unique in that it takes into account the statistical nature of normative values as well as the rules of equal probability. To handle a frequent problem, the proposed system technique employs a dual approach. It accomplishes this by assessing the quality of the control process based on the magnitude of the risks in the decision-making system.
Decision-making , Distribution density , Distribution law , Probability , Process , Simulation model
Text of the article Перейти на текст статьи
Faculty of Information Technology, L. Gumilyov Eurasian National University, Nur-Sultan, Kazakhstan
Department of Aviation equipment and technology, Civil Aviation Academy, Almaty, Kazakhstan
Department of Information Technology, University Turan, Almaty, Kazakhstan
School of Information Technology and Intelligent Systems, D. Serikbayev East Kazakhstan Technical University, Ust-Kamenogorsk, Kazakhstan
Department of Automation, Information Technology and Urban Planning, Shakarim University, Semey, Kazakhstan
Faculty of Information Technology
Department of Aviation equipment and technology
Department of Information Technology
School of Information Technology and Intelligent Systems
Department of Automation
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026