Publication detail

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

SCHÜLLER, D. DOUBRAVSKÝ, K.

Original Title

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

Type

journal article in Scopus

Language

English

Original 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

Authors

SCHÜLLER, D.; DOUBRAVSKÝ, K.

Released

17. 5. 2023

Publisher

Taylor & Francis

Location

London

ISBN

1848-9664

Periodical

Economic Research-Ekonomska Istrazivanja

Year of study

36

Number

3

State

Republic of Croatia

Pages from

1

Pages to

19

Pages count

19

URL

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

Full text in the Digital Library

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"
}