In this paper, the concept of a hesitant 2-tuple linguistic information model is introduced. It provides a linguistic and computational basis to manage the situations in which experts assess an alternative in linguistic term while feeling some hesitation to present its possible linguistic translations. A distance measure is defined between any two hesitant 2-tuple linguistic information. Then technique for order preference by similarity to ideal solution is formulated to solve the group decision making problem based on hesitant 2-tuple linguistic information by experts. An example is given to illustrate the practicality and feasibility of our proposed method.
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