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Prediction of E.U. sustainable development indicators based on fuzzy description and similarity

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  • David Schüller
  • Karel Doubravský

Abstract

A sustainable economy is a complex issue related to economic, social and environmental areas. For European Union (E.U.) countries, it is closely linked to the issues of sustainable industry, infrastructure and innovation in R&D. Thus, the article is specifically focused on identifiers of Sustainable Development Goal 9 (S.D.G. 9) created by E.U. To meet the main targets based on sustainable development and The European Green Deal strategy, it is necessary to have an idea of the possible future development of the S.D.G. 9 indicators. The main aim of this article is to create a semi-deep prediction model using cluster analysis and fuzzy approach. The contribution of this article is the use of a fuzzy approach to create a multivariate prediction model that allows to circumvent the limitations of classical regression analysis. The E.U. countries were divided into five clusters. A semi-deep prediction model was created for each cluster using fuzzy approach.

Suggested Citation

  • David Schüller & Karel Doubravský, 2023. "Prediction of E.U. sustainable development indicators based on fuzzy description and similarity," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 36(3), pages 2190399-219, December.
    • Handle: RePEc:taf:reroxx:v:36:y:2023:i:3:p:2190399
    DOI: 10.1080/1331677X.2023.2190399
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