Multiple Criteria Decision Aiding (MCDA) gives not only a toolbox, but, overall, a well developed methodology to support decision-making processes. MCDA is particularly useful in the context of sustainability assessment and urban and territorial planning, where a complex and inter-connected range of environmental, social and economic issues must be taken into consideration. Moreover, the analysis of the possible interactions among the considered criteria is of particular importance for assessing the sustainability of a certain transformation. The paper proposes an application of the Non Additive Robust Ordinal Regression approach for the selection of a new landfill location among several alternatives.
Non Additive Robust Ordinal Regression for Urban and Territorial Planning: an application for siting an urban waste landfill / Angilella, S.; Bottero, MARTA CARLA; Corrente, S.; Ferretti, Valentina; Greco, Salvatore; Lami, ISABELLA MARIA. - STAMPA. - (2013), pp. 309-309. (Intervento presentato al convegno 22 International Conference on Multiple Criteria Decision Making tenutosi a Malaga (Spain) nel 17-21 June 2013).
Non Additive Robust Ordinal Regression for Urban and Territorial Planning: an application for siting an urban waste landfill
BOTTERO, MARTA CARLA;FERRETTI, VALENTINA;GRECO, Salvatore;LAMI, ISABELLA MARIA
2013
Abstract
Multiple Criteria Decision Aiding (MCDA) gives not only a toolbox, but, overall, a well developed methodology to support decision-making processes. MCDA is particularly useful in the context of sustainability assessment and urban and territorial planning, where a complex and inter-connected range of environmental, social and economic issues must be taken into consideration. Moreover, the analysis of the possible interactions among the considered criteria is of particular importance for assessing the sustainability of a certain transformation. The paper proposes an application of the Non Additive Robust Ordinal Regression approach for the selection of a new landfill location among several alternatives.Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/2510881
Attenzione
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo