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Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
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.