Dynamic interactive group decision making method on two-dimensional
  language
Yukun Zhang
The language evaluation information of the interactive group decision method
at present is based on the one-dimension language variable. At the same time,
multi-attribute group decision making method based on two-dimension linguistic
information only use single-stage and static evaluation method. In this paper,
we propose a dynamic group decision making method based on two-dimension
linguistic information, combining dynamic interactive group decision making
methods with two-dimensional language evaluation information The method first
use Two-Dimensional Uncertain Linguistic Generalized Weighted Aggregation
(DULGWA) Operators to aggregate the preference information of each decision
maker, then adopting dynamic information entropy method to obtain weights of
attributes at each stage. Finally we propose the group consistency index to
quantify the termination conditions of group interaction. One example is given
to verify the developed approach and to demonstrate its effectiveness