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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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URI: http://purl.tuc.gr/dl/dias/706CB25E-7EC2-4C78-A77C-56AC70AF1EE1
Year 2022
Type of Item Peer-Reviewed Journal Publication
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Bibliographic Citation J. 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. https://doi.org/10.1007/s12351-020-00573-7
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Summary

The 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.

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