Prediction of E.U. sustainable development indicators based on fuzzy description and similarity
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Date
2023-05-17
Authors
Schüller, David
Doubravský, Karel
0000-0002-4677-8665Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Taylor & Francis
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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.
Description
Citation
Economic Research-Ekonomska Istrazivanja. 2023, vol. 36, issue 3, p. 1-19.
https://www.tandfonline.com/doi/full/10.1080/1331677X.2023.2190399
https://www.tandfonline.com/doi/full/10.1080/1331677X.2023.2190399
Document type
Peer-reviewed
Document version
Published version
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Language of document
en