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Title: Combined approach to the complex objects control and stability analysis of management decisions

Authors: Dmitry Ivanov; Boris Sokolov; Elena Serova; Rafael Yusupov

Addresses: Berlin School of Economics and Law, 10825, Berlin, Germany ' St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 39, 14 line V.O., 199178, St Petersburg, Russia ' National Research University Higher School of Economics, Room 218, 3, Kantemirovskaya Street, 194100, St. Petersburg, Russia ' St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 39, 14 line V.O., 199178, St Petersburg, Russia

Abstract: 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: stability analysis; risk management; management decision; combined approach; complex objects; coordination of models; simulation systems; fuzzy logic; neural networks; hybrid modelling; ANFIS method.

DOI: 10.1504/IJRAM.2020.106175

International Journal of Risk Assessment and Management, 2020 Vol.23 No.1, pp.106 - 118

Received: 04 Oct 2018
Accepted: 30 Mar 2019

Published online: 01 Apr 2020 *

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