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

Publication Type:
2008, 117 pp. 271 - 296
Issue Date:
Filename Description Size
Thumbnail2008001085OK.pdf506.29 kB
Adobe PDF
Full metadata record
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.
Please use this identifier to cite or link to this item: