Complex systems modeling with intelligent control elements

• Published in: International journal of modeling, simulation and scientific computing Vol. 8; no. 1; p. 1750009
• Main Authors: Zamula, Alina, Kavun, Sergii
• Format: Journal Article
• Language: English
• Published: Hackensack World Scientific Publishing Company 01.03.2017; World Scientific Publishing Co. Pte., Ltd
• Subjects: Complex systems; Dynamic models; Fuzzy systems; Knowledge base; Support systems; System dynamics; mathematical model; intelligent control; Complex system; fuzzy logic
• ISSN: 1793-9623; 1793-9615
• DOI: 10.1142/S179396231750009X

The approach to managing complex systems through the usage of fuzzy technology in combination with the system-dynamic modeling is improved. The methods of system dynamics and artificial intelligence represented the research subject. Object of study includes process operation of complex systems. For the experiment selected banking system (BS) and commercial bank (CB) as its subsystem. The mathematical models of the BS and CBs are developed; elements of intelligent control are formalized. The knowledge base in the form of production rules is designed in the paper. Functions of fuzzy variables and their parameters are selected for building fuzzy models using Mamdani and Sugeno algorithms. The control impact and the functioning of intellectual decision support system for the prediction task are studied. The efficiency of scientific research on the example of the Ukrainian BS is evaluated.