Combined Cognitive Model for Forecasting University Activities

Purpose of the study . The purpose is to develop a model for predicting university performance indicators based on cognitive approach, which construction map that reflects influence set latent factors basic and provides solution problem scenario forecasting. degree achievement required values determine ranking depends magnitude increment identified factors. developed makes it possible choose most preferable variant forecasting under existing restrictions resources allocated Materials methods. To achieve this goal, modeling methods gray fuzzy maps (FCM) were used in combination with interval mathematics causal algebra. application considered approach made reduce uncertainty expert estimates strength relationship between concepts due use special constructions form rather than point when describing relationships concepts, ensured an increase reliability results. created ensemble FCMs, which, turn, accuracy predictive model. proposed solving activities adequate Results university’s analyze dynamics changes their indicators, as well development system indicators. calculation cost-effective incrementing obtain value framework QS international institutional universities. A comparative analysis results conventional FCM, FCM was carried out, showed advantage approach. Conclusion. During study, measures targets FCMs. provides, given constraints, obtaining acceptable planning target by identifying influencing them calculating impulse effects