New Concept to Multi-Criteria Model Automatization - Machine Learning Based Approach

The commonness of information systems based on machine learning (ML) models and multi-criteria decision analysis (MCDA) methods is growing due to the increasing dimensions of data required for processing. This paper presents a hybrid framework combining the MCDA method with ML models to predict the rankings of countries considering the fulfillment of Sustainable Development Goal 7 based on the identified preferences of decision-makers. The results proved that the proposed approach can be regarded as a functional tool for multi-criteria assessment in the case of inaccessibility of experts' knowledge. The proposed approach enables to mitigate the shortcomings of MCDA methods arising from the necessity to engage decision-makers.