Cognitive Modeling of Socio-Economic Systems with Functional Consideration of the Time Factor

The research analyzes scientific and methodological approaches for structural parametric identification of fuzzy cognitive models based on time-dependent functional dependencies. In the process constructing identifying models, stages with definition a set concepts unclear relationships over this set, identification, which implements transition to intensity influence between factors, are implemented. A specialized software system was developed purpose computer support modeling studying time factor by changes in strength connections concepts. representation each elements FCM adjacency matrix is proposed form an additive expression controlled alpha parameter, includes constant component determined expert method control function that depends real or dimensionless model time. To correct matrix, it use 3-parameter parabolic modified 4-parameter exponential dependence as solving problem accounting using dependencies mutual provides expanding capabilities taking into account factor.