Intelligent system of neuro-fuzzy analysis and multidimensional forecasting of complex processes

Luferov Viktor Sergeyevich

The article deals with the developed intelligent neuro-fuzzy analysis and multidimensional forecasting of complex processes. The system is designed: first, to analyze the direct and indirect interaction of system and external system factors in the study of complex problem situations; second, to model the system dynamics of complex processes occurring within the framework of problem situations; third, for multidimensional forecasting of complex processes. The intelligent system is based on a complex of intelligent models, methods and technologies (including original ones) focused on intelligent analysis and modeling of complex processes under uncertainty, including: neuro-fuzzy cognitive models, fuzzy evaluation models, and models of system dynamics. The developed intelligent system was tested on the example of multidimensional forecasting of the state of the urban environment.

Keywords:time series, neuro-fuzzy cognitive temporal models, fuzzy logic, multidimensional forecasting