Detail publikace

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

SCHÜLLER, D. DOUBRAVSKÝ, K.

Originální název

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

Typ

článek v časopise ve Scopus, Jsc

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Fuzzy description of time series; fuzzy similarity; sustainable industry; infrastructure and innovation; European Union

Autoři

SCHÜLLER, D.; DOUBRAVSKÝ, K.

Vydáno

17. 5. 2023

Nakladatel

Taylor & Francis

Místo

London

ISSN

1848-9664

Periodikum

Economic Research-Ekonomska Istrazivanja

Ročník

36

Číslo

3

Stát

Chorvatská republika

Strany od

1

Strany do

19

Strany počet

19

URL

https://www.tandfonline.com/doi/full/10.1080/1331677X.2023.2190399

Plný text v Digitální knihovně

http://hdl.handle.net/11012/213648

BibTex

@article{BUT183525,
  author="David {Schüller} and Karel {Doubravský}",
  title="Prediction of E.U. sustainable development indicators based on fuzzy description and similarity",
  journal="Economic Research-Ekonomska Istrazivanja",
  year="2023",
  volume="36",
  number="3",
  pages="1--19",
  doi="10.1080/1331677X.2023.2190399",
  issn="1848-9664",
  url="https://www.tandfonline.com/doi/full/10.1080/1331677X.2023.2190399"
}