Formation of a knowledge base to analyze the issue of transport and the environment on the formation and use of a
fuzzy knowledge base. The provided the classification of human functional state types
Application of fuzzy logic methods to modeling of the process of controlling complex technical systemsBeckel, L. S.,
Semenenko, M. G.,
Tsarev, R. Y.,
Yamskikh, T. N.,
Knyazkov, A. N.,
Pupkov, A. N. computing
system is considered as a tool for modeling processes with
fuzzy logic methods using the battery
Forecasting the Risk of Bankruptcy in Poorly Formalized Processes interpretation: risk is information uncertainty,
fuzziness of the “object – subject – environment”
system and its
Fuzzy Differential Equations in Control. Part II of the corresponding
system of differential equations. The examples of the simplest solutions of
fuzzy initial value
Automated test system of diesel engines based on fuzzy neural network engines based on
fuzzy neural network. Structure and training algorithm have been proposed for a
fuzzy Cognitive generator to interpret fuzzy values of this game to provide some measuring
system that is a reminiscent of collecting statistics in Probability
Optimization of parameters of neuro-fuzzy model models and
fuzzy systems. The analysis of the efficiency of the
fuzzy neural network carried out
Fussy Partial Differential Equation in the Task of Control series. These equations have different coefficients, which are represented as
fuzzy variables