Due to the complexity of objective things and the ambiguity of human thinking,it is difficulty to value an assessment attribute with an exact value,but usually with uncertainty in varying degrees.On the basis of comparing and analyzing the existing methods of expressing uncertainty,decision making of dynamic
alliance partner group based on multi-granularity linguistic representation was
proposed.In this approach,multi-granularity linguistic attributes values provided by
experts,were uniformed into the normalized two-tuple linguistic representation with the same granularity,and were aggregated into group integrated linguistic assessment value
for each attribute using ET-COWGA operator,where the relative position weights
were identified with the method of normal distribution.First through local optimization
and then global optimization,the accurate attribute weight vector was derived,and then group integrated linguistic assessment values for each attribute were once again aggregated, using weighted geometric averaging(WGA) operator,into alternatives’ overall value.An illustrative example was given to demonstrate the whole process of partner decision making,and to verify that the proposed method is reasonable and effective in the final process of optimization decision making.
