The hesitant fuzzy linguistic term set, which is characterized by a set of possible linguistic terms, becomes a useful tool to describe the complex cognitions of experts. In many cases, it is much more flexible for experts to provide evaluation information via pairwise comparisons rather than give their evaluation information on options directly. In this regard, the hesitant fuzzy linguistic preference relation (HFLPR) whose elements are hesitant fuzzy linguistic elements was introduced. Besides, to make a reasonable decision, a group of experts are usually involved in practice and thus how to reach an agreement among experts whose perceptions are represented by HFLPRs turns to be significantly important. To meet this challenge, in this study, we propose a novel consensus measure for group decision making with HFLPRs. Firstly, we define an alpha-cut-based method to calculate the similarities among different hesitant fuzzy linguistic evaluations and then develop an alpha-cut-based consensus measure for group decision making with HFLPRs. By converting the linguistic terms of hesitant fuzzy linguistic elements into numerical values of 0 or 1, the consensus measure can be simplified. Finally, to illustrate the effectiveness of the method, we apply it to a practical case study. A comparative analysis is provided to demonstrate the advantages and significance in practical applications of the proposed method.

犹豫的模糊语言术语集以一组可能的语言术语为特征，成为描述专家复杂认知的有用工具。在许多情况下，专家可以通过成对比较提供评估信息，而不是直接将其评估信息提供给期权，这更加灵活。在这方面，介绍了以犹豫模糊语言元素为要素的犹豫模糊语言偏好关系（HFLPR）。此外，为了做出合理的决定，通常需要一组专家参与实践，因此，如何在以HFLPRs表示看法的专家之间达成协议就变得非常重要。为了应对这一挑战，在这项研究中，我们提出了一种新的共识方法，用于HFLPR的群体决策。首先，我们定义了一种基于alpha割的方法来计算不同的犹豫模糊语言评估之间的相似度，然后为基于HFLPR的群体决策制定基于alpha割的共识度量。通过将犹豫的模糊语言元素的语言项转换为数值0或1，可以简化共识度量。最后，为了说明该方法的有效性，我们将其应用于实际案例研究。提供了比较分析，以证明该方法在实际应用中的优点和意义。通过将犹豫的模糊语言元素的语言项转换为数值0或1，可以简化共识度量。最后，为了说明该方法的有效性，我们将其应用于实际案例研究。提供了比较分析，以证明该方法在实际应用中的优点和意义。通过将犹豫的模糊语言元素的语言项转换为数值0或1，可以简化共识度量。最后，为了说明该方法的有效性，我们将其应用于实际案例研究。提供了比较分析，以证明该方法在实际应用中的优点和意义。