Original scientific paper
https://doi.org/10.1080/1331677X.2023.2190399
Prediction of E.U. sustainable development indicators based on fuzzy description and similarity
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.
Keywords
fuzzy description of time series; fuzzy similarity; sustainable industry; infrastructure and innovation; European Union (E.U.)
Hrčak ID:
314863
URI
Publication date:
1.9.2023.
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