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Graphical sustainability analysis using disjoint biplots

Cañizares José Fernando Romero, Vicente-Galindo Purificación, Phillis Yannis, Grigoroudis Evangelos

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URIhttp://purl.tuc.gr/dl/dias/706CB25E-7EC2-4C78-A77C-56AC70AF1EE1-
Identifierhttps://doi.org/10.1007/s12351-020-00573-7-
Identifierhttps://link.springer.com/article/10.1007/s12351-020-00573-7-
Languageen-
Extent22 pagesen
TitleGraphical sustainability analysis using disjoint biplotsen
CreatorCañizares José Fernando Romeroen
CreatorVicente-Galindo Purificaciónen
CreatorPhillis Yannisen
CreatorΦιλλης Ιωαννηςel
CreatorGrigoroudis Evangelosen
CreatorΓρηγορουδης Ευαγγελοςel
PublisherSpringeren
Content SummaryThe assessment of sustainability is of the utmost importance nowadays. Several approaches exist that measure sustainability at a national level and rank countries accordingly. Comparison of countries could be done numerically or pictorially. This paper introduces a novel clustering disjoint HJ-biplot approach, which is then applied to data from two well-known models: Sustainability Assessment by Fuzzy Evaluation (SAFE) and the United Nations Sustainable Development Goals Index (UN-SDGs). This approach performs a graphical ranking that makes the sustainability standing of countries very transparent. As expected, the pictorial model yielded similar rankings to those of SAFE and UN-SDGs, but it additionally grouped countries according to their most important indicators, thereby yielding a more global picture of sustainability. Our approach thus comprises a useful complement to existing mathematical sustainability ranking models.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2022-03-29-
Date of Publication2022-
SubjectSustainability assessmenten
SubjectBiplotsen
SubjectSustainability indicatorsen
SubjectGraphical sustainability rankingen
Bibliographic CitationJ. F. R. Cañizares, P. V. Galindo, Y. Phillis, and E. Grigoroudis, “Graphical sustainability analysis using disjoint biplots,” Oper. Res. Int. J., vol. 22, no. 2, pp. 1575–1596, Apr. 2022, doi: 10.1007/s12351-020-00573-7.en

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