Концептуальна модель оцінювання рівня керованості процесами у складних системах враховуючи ризик-орієнтовані фактори

Rok vydání: 2021
Předmět:
Zdroj: Науковий вісник Ужгородського університету. Серія: Математика і інформатика, Vol 39, Iss 2, Pp 158-171 (2021)
ISSN: 2708-9568
2616-7700
Popis: The research of the actual task of developing a conceptual model for assessing the level of process control in complex systems, considering risk-oriented factors. The study for the first-time proposed stages of risk management in the process of assessing the level of controllability of complex systems. The input data used for risk assessment using fuzzy models for various complex systems are formalized, namely: risk indicators assessed by some expert using a linguistic variable; quantitative assessment of the "reliability" of experts in relation to considerations of the risk indicator; quantitative assessment of the risk criterion on the basis of intellectual analysis of the data generating the risk, using the theory of fuzzy sets and membership functions; linguistic variable consequences of the implementation of threats to the system; the degree of possibility of realization of the threat in the system; the severity of the consequences of the incident on the asset of the system, which is estimated by some expert using a linguistic variable. For the first time, a conceptual model was proposed that solves a class of problems of process control assessment in complex systems considering risk-oriented factors and an algorithm for selecting a risk-oriented assessment model. As a result, we obtain an initial assessment that carries the content of process control in the system, considering risk-oriented factors of influence. As a tool for application, generalized algorithms are proposed, with the help of which it is possible to adequately solve the innovation problem. The reliability of the obtained results is ensured by the correct use of fuzzy set theory for the development of expert knowledge, a systematic approach, which is confirmed by research results. The study will be a useful tool to support decision-making to improve process control in various complex systems by considering the risks and threats to its operation.
Databáze: OpenAIRE