In the analysis of complex and multivariate systems, set priorities and rank all the available objects is not a trivial task. In this framework, several multi-criteria decision-making (MCDM) techniques have been proposed, with successful applications in different research fields. However, it would be desirable to customize the ranking by weighting differently the criteria and to quantitatively assess the influence of each criterion on the final ranking. In this study, we applied a recently proposed ranking approach, called Deep Ranking Analysis by Power Eigenvectors (DRAPE) to study the sustainability of 154 countries expressed by 21 human, environmental and economic wellbeing criteria. The application of two systems for weighting the criteria and a retrospective analysis of the contribution of each criterion to the final ranking allowed the great potential of the considered approach to be expressed.
Valsecchi, C., Todeschini, R. (2021). Deep ranking analysis by power eigenvectors (DRAPE): A study on the human, environmental and economic wellbeing of 154 countries. In R. Bruggemann, L. Carlsen, T. Beycan, C. Suter, F. Maggino (a cura di), Measuring and Understanding Complex Phenomena Indicators and their Analysis in Different Scientific Fields (pp. 267-289). Springer International Publishing [10.1007/978-3-030-59683-5_17].
Deep ranking analysis by power eigenvectors (DRAPE): A study on the human, environmental and economic wellbeing of 154 countries
Valsecchi, C;Todeschini, R
2021
Abstract
In the analysis of complex and multivariate systems, set priorities and rank all the available objects is not a trivial task. In this framework, several multi-criteria decision-making (MCDM) techniques have been proposed, with successful applications in different research fields. However, it would be desirable to customize the ranking by weighting differently the criteria and to quantitatively assess the influence of each criterion on the final ranking. In this study, we applied a recently proposed ranking approach, called Deep Ranking Analysis by Power Eigenvectors (DRAPE) to study the sustainability of 154 countries expressed by 21 human, environmental and economic wellbeing criteria. The application of two systems for weighting the criteria and a retrospective analysis of the contribution of each criterion to the final ranking allowed the great potential of the considered approach to be expressed.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
