JUCS - Journal of Universal Computer Science 16(1): 103-120, doi: 10.3217/jucs-016-01-0103
Multi-criteria Group Decision Support with Linguistic Variables in Long-term Scenarios for Belgian Energy Policy
Da Ruan‡, Jie Lu§, Erik Laes|, Guangquan Zhang§, Jun Ma§, Gaston Meskens‡‡ Belgian Nuclear Research Centre, Mol, Belgium§ University of Technology, Sydney (UTS), Sydney, Australia| Flemish Institute for Technological Research (VITO), Mol, Belgium
Corresponding author: Da Ruan ( druan@sckcen.be ) © Da Ruan, Jie Lu, Erik Laes, Guangquan Zhang, Jun Ma, Gaston Meskens. This article is freely available under the J.UCS Open Content License. Citation:
Ruan D, Lu J, Laes E, Zhang G, Ma J, Meskens G (2010) Multi-criteria Group Decision Support with Linguistic Variables in Long-term Scenarios for Belgian Energy Policy. JUCS - Journal of Universal Computer Science 16(1): 103-120. https://doi.org/10.3217/jucs-016-01-0103 |  |
Abstract
Real world decisions often made in the presence of multiple, conflicting, and incommensurate criteria. Decision making requires multiple perspectives of different individuals as more decisions are made now in groups than ever before. This is particularly true when the decision environment becomes more complex such as sustainability policies study in environmental and energy sectors. Group decision making processes judgments or solutions for decision problems based on the input and feedback of multiple individuals. Multi-criteria decision and evaluation problems at tactical and strategic levels in practice involve fuzziness in terms of linguistic variables vis-à-vis criteria, weights, and decision maker judgments. Relevant alternatives or scenarios are evaluated according to a number of desired criteria. A fuzzy multi-criteria group decision software tool is developed to analyze long-term scenarios for Belgian energy policy in this paper.
Keywords
Fuzzy numbers, multi-criteria decision making (MCDM), linguistic variables, group decision support, energy policy, evaluation model