Fuzzy-set Decision Support for a Belgian Long-Term Sustainable Energy Strategy

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dc.contributor.author Laes, Erik en_US
dc.contributor.author Meskens, Gaston en_US
dc.contributor.author Ruan, Da en_US
dc.contributor.author Lu, Jie en_US
dc.contributor.author Zhang, Guangquan en_US
dc.contributor.author Wu, Fengiie en_US
dc.contributor.author D'Haeseleer, William en_US
dc.contributor.author Weiler, Raoul en_US
dc.contributor.editor Da Ruan, Frank Hardeman and Klaas van der Meer en_US
dc.date.accessioned 2010-05-28T09:38:05Z
dc.date.available 2010-05-28T09:38:05Z
dc.date.issued 2008 en_US
dc.identifier 2008001085 en_US
dc.identifier.citation Laes Erik et al. 2008, 'Fuzzy-set Decision Support for a Belgian Long-Term Sustainable Energy Strategy', in http://dx.doi.org/10.1007/978-3-540-78308-4_13 (ed.), Springer, Berlin, Germany, pp. 319-350. en_US
dc.identifier.issn 978-3-540-78306-0 en_US
dc.identifier.other B1 en_US
dc.identifier.uri http://hdl.handle.net/10453/7834
dc.description.abstract This chapter addresses the methodological challenges of developing relevant scientific knowledge for a sustainable energy system transition in an innovative way. We argue that scientific contributions to sustainable development do not follow the `linear? procedure from empirical knowledge production to policy advice. Instead, they consist of problem-oriented combinations of explanatory, orientationand action-guiding knowledge. Society and policy makers not only have to be `provided? with action-guiding knowledge, but also with an awareness of the manner in which this knowledge is to be interpreted, and where the inevitable uncertainties lie. Since the sustainability question is inherently multi-dimensional, participation of social groups is an essential element of a strategy aimed at sustainable development. Multi-criteria decision support provides a platform to accommodate a process of arriving at a judgment or a solution for the sustainability question based on the input and feedback of multiple individuals. At the same time in practice, multi-criteria problems at tactical and strategic levels often involve fuzziness in their criteria and decision makers? judgments. Therefore, we argue in favor of the use of fuzzy-logic based multi-criteria group decision support as a decision support tool for long-term strategic choices in the context of Belgian sustainable energy policy. en_US
dc.language en_US
dc.publisher Springer en_US
dc.relation.isbasedon http://dx.doi.org/10.1007/978-3-540-78308-4_13 en_US
dc.title Fuzzy-set Decision Support for a Belgian Long-Term Sustainable Energy Strategy en_US
dc.parent Intelligent Decision and Policy Making Support Systems en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Berlin, Germany en_US
dc.identifier.startpage 319 en_US
dc.identifier.endpage 350 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.for 080108 en_US
dc.personcode 0000032443 en_US
dc.personcode 0000047512 en_US
dc.personcode 100450 en_US
dc.personcode 001038 en_US
dc.personcode 020014 en_US
dc.personcode 994932 en_US
dc.personcode 0000047513 en_US
dc.personcode 0000047514 en_US
dc.percentage 100 en_US
dc.classification.name Neural, Evolutionary and Fuzzy Computation en_US
dc.classification.type FOR-08 en_US
dc.edition 1 en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords NA en_US

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