中文摘要：

犹豫语言集比传统语言变量能更好地表示不确定决策信息，但因其具有非均匀和离散的特点，使用时难以找到对应的解析词运算规则和比较方法。对此，利用云模型的云滴生成算法，通过数值模拟方法解决犹豫语言信息的运算与比较问题，提出了相应的多准则决策方法，并通过算例分析了其有效性。

英文摘要：

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.