APPLICATION OF FUZZY HIERARCHICAL EVALUATION MODELS IN THE HYBRID MODELS SYSTEM OF SHORT-TERM FORECASTING "HORIZON"

UDC 004.415.2

Authors

Averkin A.N.
Federal Research Center "Informatics and Management" of the Russian Academy of Sciences; Plekhanov Russian University of Economics, Moscow, Russia
Dumbrays K.O.
Dubna State University, Dubna, Russia
Savinova V.M.
Plekhanov Russian University of Economics, Moscow, Russia
Yarushev S.A.
Plekhanov Russian University of Economics, Moscow, Russia

Abstract

The transition to the digital economy is characterized by the introduction of modern progressive technologies of machine learning and artificial intelligence in all its branches. Including, at the strategic level of modern companies, regions and the state as a whole, predictive analytics is of particular importance. However, various forecasting methods make it possible to obtain forecasts with different accuracy and quality. In the framework of this work, the possibility of using the methods of fuzzy hierarchies to rank forecasting models in the framework of the decision support system SGM Horizon is investigated.

Keywords

Forecasting, Decision support system, Fuzzy hierarchy, Fuzzy logic