Hesitant linguistic fuzzy term sets express uncertain decision information better than original linguistic variables. However, since such sets are heterogeneous and discrete, the related comparing method and analytic word-computing operations are hard to be found. Therefore, by using the algorithm for generating cloud drops, the hesitant linguistic information can be operated and compared through the numerical simulation. A multi-criteria decision-making method is proposed accordingly. A numerical example shows the effectiveness of the proposed method.