Two-layer weight large group decision-making method based on multi-granularity attributes.

To overcome the information ambiguity inherent in multi-attribute large group decision-making problems, an interval 2-tuple linguistic large group decision-making method based on multi-granularity attributes is proposed. Considering the preferences of individual decision makers, the group is clustered and classified to form an aggregate structure. The twolayer weight model is developed from the decision makers' different contribution to the existing clusters' and different contribution of different clusters. The possible degree formula for expansion is used to calculate the weighted value of the decision makers in all clusters. Fuzzy entropy is used to confirm the weighted value of each cluster, and the fuzzy relative entropy is then used to sort the schemes. Finally, an illustrative example indicates that the proposed model is feasible and effective for large group decision-making. [ABSTRACT FROM AUTHOR]