Analysis of Russian Regions Innovative Competitiveness Dynamics Using Fuzzy Methods

Abstract

AbstractThe problem of maintaining and improving regional competitiveness is related to the general concept of socio-economic development within the framework of the concept of Society 5.0. The purpose of this research is to apply digital technologies to implement new approaches to assessing and predicting regional development. Decision-making methods under a variety of possibly contradictory criteria are an effective tool for solving complex socio-economic problems, for providing objective and effective solutions, including in conditions of incomplete information, the uncertainty of macroeconomic conditions. The modified Fuzzy ELECTRE II method which allows applying different distance metrics in the algorithm was used for an integrated assessment of the competitiveness of regions. Approbation of the proposed approach is carried out on the example of an assessment of various aspects of regional competitiveness associated with the innovative development of regions. To assess the dynamics, innovative competitiveness ratings of 80 Russian regions for 2014 and 2019 were constructed. A comparative analysis of the obtained estimates allows us to identify regions that have the potential to develop competitiveness.KeywordsDigital modelSociety 5.0Regional competitiveness assessmentMulti-criteria decision-making methodsFuzzy ELECTRERankingFuzzy methodsDecision-making systems