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dc.contributor.authorDomingo Gou, Marta
dc.contributor.authorAgell Jané, Núria
dc.contributor.authorParra, Xavier
dc.date.accessioned2007-03-29T13:44:23Z
dc.date.available2007-03-29T13:44:23Z
dc.date.issued2007-03-29T13:44:23Z
dc.identifier.issn1988-0928
dc.identifier.urihttp://hdl.handle.net/2099/2567
dc.description.abstractWhen defining a context of sustainability, capturing the complexity of data and extracting as much information as possible are fundamental challenges. Normally, quantitative and qualitative indicators are defined. While the definition and calculation of the former is direct, the latter are difficult to manage. This document provides tools based on connectionist techniques for managing complex information combining the use of imprecise and qualitative variables. The application of these tools to evaluate non-numerical sustainability indicators is presented. The results obtained in some first approaches are briefly presented to illustrate the connectionist paradigm.
dc.format.extent13
dc.language.isoeng
dc.relation.ispartofDomingo, M.; Agell, N.; Parra, X. (2006). "Connectionist techniques to approach sustainability modelling", Revista Internacional de Tecnología, Sostenibilidad y Humanismo, diciembre 2006, núm. 1, p. 61-73
dc.rightsAttribution-NonCommercial-NoDerivs 2.5 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/es/
dc.subjectÀrees temàtiques de la UPC::Desenvolupament humà i sostenible::Desenvolupament sostenible::Indicadors de sostenibilitat
dc.subjectÀrees temàtiques de la UPC::Desenvolupament humà i sostenible::Prospectiva, sistèmica i modelització
dc.subject.othersustainability
dc.subject.othersustainability modelling
dc.subject.othersustainable development valuation
dc.subject.otherlearning
dc.subject.otherconnectionist techniques
dc.subject.othercitizen’s satisfaction
dc.titleConnectionist techniques to approach sustainability modelling
dc.typeArticle
dc.subject.lemacDesenvolupament sostenible -- Indicadors
dc.rights.accessOpen Access


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Attribution-NonCommercial-NoDerivs 2.5 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 2.5 Spain