ГИБРИДНЫЕ МОДЕЛИ ПРОГНОЗИРОВАНИЯ ПОКАЗАТЕЛЕЙ ВНЕШНЕЭКОНОМИЧЕСКОЙ ДЕЯТЕЛЬНОСТИ РФ НА ОСНОВЕ НЕЧЕТКИХ КОГНИТИВНЫХ КАРТ И ДЕРЕВЬЕВ РЕШЕНИЙ

Abstract

The development of hybrid forecasting models is more relevant than ever during periods of economic crisis, since it is thanks to hybrid technologies that it is possible to make forecasts even in unstable times. In this paper, several indicators of the foreign economic activity of the Russian Federation were selected for experiments, in total, 5 indicators were selected, the data on which were presented quarterly for the period from 2013 to 2021. For forecasting, two cognitive forecasting models were used, such as decision trees and fuzzy cognitive models. cards.