Fuzzy-set decision support for a Belgian long-term sustainable energy strategy

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dc.contributor.author Laes, E
dc.contributor.author Meskens, G
dc.contributor.author Ruan, D
dc.contributor.author Lu, J
dc.contributor.author Zhang, G
dc.contributor.author Wu, F
dc.contributor.author D'haeseleer, W
dc.contributor.author Weiler, R
dc.date.accessioned 2010-05-28T09:38:05Z
dc.date.issued 2008
dc.identifier.citation 2008, 117 pp. 271 - 296
dc.identifier.isbn 9783540783060
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. © 2008 Springer-Verlag Berlin Heidelberg.
dc.relation.isbasedon 10.1007/978-3-540-78308-4_13
dc.title Fuzzy-set decision support for a Belgian long-term sustainable energy strategy
dc.type Chapter
dc.journal.volume 117
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 Neural, Evolutionary and Fuzzy Computation
dc.personcode 001038
dc.personcode 020014
dc.personcode 994932
dc.personcode 100450
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
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)

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