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

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dc.contributor.authorSchüller, Davidcs
dc.contributor.authorDoubravský, Karelcs
dc.coverage.issue3cs
dc.coverage.volume36cs
dc.date.issued2023-05-17cs
dc.description.abstractA 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.en
dc.formattextcs
dc.format.extent1-19cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationEconomic Research-Ekonomska Istrazivanja. 2023, vol. 36, issue 3, p. 1-19.en
dc.identifier.doi10.1080/1331677X.2023.2190399cs
dc.identifier.issn1848-9664cs
dc.identifier.orcid0000-0002-4677-8665cs
dc.identifier.orcid0000-0002-6882-1046cs
dc.identifier.other183525cs
dc.identifier.researcheridGLR-2336-2022cs
dc.identifier.scopus56067188800cs
dc.identifier.urihttp://hdl.handle.net/11012/213648
dc.language.isoencs
dc.publisherTaylor & Franciscs
dc.relation.ispartofEconomic Research-Ekonomska Istrazivanjacs
dc.relation.urihttps://www.tandfonline.com/doi/full/10.1080/1331677X.2023.2190399cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1848-9664/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectFuzzy description of time seriesen
dc.subjectfuzzy similarityen
dc.subjectsustainable industryen
dc.subjectinfrastructure and innovationen
dc.subjectEuropean Unionen
dc.titlePrediction of E.U. sustainable development indicators based on fuzzy description and similarityen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-183525en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:43:31en
sync.item.modts2025.01.17 18:42:02en
thesis.grantorVysoké učení technické v Brně. Fakulta podnikatelská. Ústav managementucs
thesis.grantorVysoké učení technické v Brně. Fakulta podnikatelská. Ústav informatikycs
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