TY - CHAP
T1 - Fuzzy-set decision support for a Belgian long-term sustainable energy strategy
AU - Laes, Erik
AU - Meskens, Gaston
AU - Ruan, Da
AU - Lu, Jie
AU - Zhang, Guangquan
AU - Wu, Fengjie
AU - D'haeseleer, William
AU - Weiler, Raoul
PY - 2008/4/28
Y1 - 2008/4/28
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=42449155580&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-78308-4_13
DO - 10.1007/978-3-540-78308-4_13
M3 - Chapter
AN - SCOPUS:42449155580
SN - 9783540783060
T3 - Studies in Computational Intelligence
SP - 271
EP - 296
BT - Intelligent Decision and Policy Making Support Systems
A2 - Ruan, Da
A2 - Meer, Klaas
A2 - Hardeman, Frank
PB - Springer
CY - Berlin
ER -
