Author/Authors :
Ruan, Da Belgian Nuclear Research Centre (SCK•CEN - Expertise Unit of Society and Policy Support, Belgium , Lu, Jie University of Technology - Faculty of Engineering and Information Technology - (Lab of Decision Systems and e-Service Intelligence, Center of Quantum Computation and Intelligent Systems, Australia , Laes, Erik Flemish Institute for Technological Research (VITO) - Unit Transition Energy Environment (TEM), Belgium , Zhang, Guangquan University of Technology - Faculty of Engineering and Information Technology - Lab of Decision Systems and e-Service Intelligence, Center of Quantum Computation and Intelligent Systems, Australia , Ma, Jun University of Technology, Sydney (UTS) - Faculty of Engineering and Information Technology - Intelligent SystemsLab of Decision Systems and e-Service Intelligence, Center of Quantum Computation and, Australia , Meskens, Gaston Belgian Nuclear Research Centre (SCK•CEN) - Expertise Unit of Society and Policy Support, Belgium
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 , energy policy , evaluation model , group decision support , linguistic variables , multi , criteria decision making (MCDM)
