Graphical sustainability analysis using disjoint biplots
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-biplo...
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| Veröffentlicht in: | Operational research 2022-04, Vol.22 (2), p.1575-1596 |
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| container_title | Operational research |
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| creator | Cañizares, José Fernando Romero Galindo, Purificación Vicente Phillis, Yannis Grigoroudis, Evangelos |
| description | 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. |
| doi_str_mv | 10.1007/s12351-020-00573-7 |
| format | Article |
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| subjects | Business and Management Clustering Computational Intelligence Management Science Operations Research Operations Research/Decision Theory Original Paper Ranking Sustainability Sustainable development |
| title | Graphical sustainability analysis using disjoint biplots |
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