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Combined Approach to the Complex Objects Control and Stability Analysis of Management Decisions
The main problems and features of combined approach to the
complex objects control and management stability analysis are investigated in
the paper. Analytical-simulation scenarios and scenarios of intelligent models
and systems execution for complex objects control and management stability
analysis are given. The paper describes a particular group of models and
modelling systems – hybrid intelligent models and systems that allow in
conditions of uncertainty, incomplete initial data and complex interdependence
between elements of complex objects to evaluate the implications of realization
of various scenarios and risk evaluation. The investigations have shown
successful possibility of risks evaluation by the combined implementation of
the analytical-simulation models and algorithms, and ANFIS method – the
method of hybrid neural-fuzzy modelling.The main problems and features of combined approach to the
complex objects control and management stability analysis are investigated in
the paper. Analytical-simulation scenarios and scenarios of intelligent models
and systems execution for complex objects control and management stability
analysis are given. The paper describes a particular group of models and
modelling systems – hybrid intelligent models and systems that allow in
conditions of uncertainty, incomplete initial data and complex interdependence
between elements of complex objects to evaluate the implications of realization
of various scenarios and risk evaluation. The investigations have shown
successful possibility of risks evaluation by the combined implementation of
the analytical-simulation models and algorithms, and ANFIS method – the
method of hybrid neural-fuzzy modelling.