The outlines of the composition of intelligent models for the assessment of complex risks, consisting of a ways of extracting and formalizing knowledge based on an ontological model, intelligent models for evaluating the process, structural and system aspects of risks are determined. A method of forming a composition of models for the assessment of complex risks, based on the decomposition of the problem of risk assessment into separate requirements, is proposed. The boundaries of the participation of subject matter specialists and / or risk management specialists in setting up, training, adapting and assembling both individual intellectual models and their composition as a whole are determined.

Keywords: intelligent models, risk management, intelligent model composition, ontological model

The features of the multidementional approach to risk management are considered, the necessity of applying methods of multidimensional risk management at various stages of risk management is justified, namely, the definition of context, analysis and risk management. Methods for multidimensional management of complex risks at each of these stages are proposed. The proposed methods, as part of a general approach to risk management, allow the introduction of new assessments of the effectiveness of risk management, reflecting, for example, the generalized risk for the system, the generalized risk of a particular risk event or risk situation.

Keywords: methods of multidimensional risk management, context definition, risk analysis, risk management