Combined Approach to the Complex Objects Control and Stability Analysis of Management Decisions

International Journal of Risk Assessment and Management. 2020. Vol. 23. No. 1. P. 106–118.

Serova E., Sokolov B., Ivanov D., Yusupov R.

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.

Keywords: risk management, neural networks, fuzzy logic, management decisions, Stability analysis, simulation systems, combined approach, complex objects, coordination of models, hybrid modelling, ANFIS method