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In this paper, an approach based on multi-granularity linguistic assessment information is used to select IT project. Firstly, the expert linguistic assessment information is represented in the form of 2-tuple. Secondly, the basic linguistic term set is chosen from multi-granularity linguistic term sets. Then, based on the 2-tuple order weighted averaging (TOWA) and other aggregation operator, the experts' preference information is aggregated into the group preference information and the most desirable IT project is selected. Finally, a numerical example is given to illustrate the effectiveness of the proposed approach.