Methods of intelligent data analysis in complex systems

This article contains information about application of MDX requests for the intellectual data analysis for support of decision-making and about using the simulation Petri nets at intellectual analysis for decision-making problems in complex dynamic systems. The advantages of simulation models in the analysis of a priori information about the state of a complex object and the dynamics of its development under the impact of environmental factors were described. We considered an abstract example of a network function on the three sets a priori information. We described the prospects of applying this approach to representation and extraction knowledge from different subject areas.