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 res...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.展开更多
文摘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.
