Hesitant fuzzy preference relations (HFPRs) have been widely applied in multicriteria decision-making (MCDM) for their ability to efficiently express hesitant information. To address the situation where HFPRs are necessary, this paper develops several decision-making models integrating HFPRs with the best worst method (BWM). First, consistency measures from the perspectives of additive/multiplicative consistent hesitant fuzzy best worst preference relations (HFBWPRs) are introduced. Second, several decision-making models are developed in view of the proposed additive/multiplicatively consistent HFBWPRs. The main characteristic of the constructed models is that they consider all the values included in the HFBWPRs and consider the same and different compromise limit constraints. Third, an absolute programming model is developed to obtain the decision-makers’ objective weights utilizing the information of optimal priority weight vectors and provides the calculation of decision-makers’ comprehensive weights. Finally, a framework of the MCDM procedure based on hesitant fuzzy BWM is introduced, and an illustrative example in conjunction with comparative analysis is provided to demonstrate the feasibility and efficiency of the proposed models.

犹豫模糊偏好关系（HFPR）因其有效表达犹豫信息的能力而被广泛应用于多标准决策（MCDM）。为了解决需要 HFPR 的情况，本文开发了几种将 HFPR 与最佳最坏方法 (BWM) 相结合的决策模型。首先，从加法/乘法一致犹豫模糊最佳最坏偏好关系（HFBWPR）的角度介绍了一致性措施。其次，鉴于提议的加法/乘法一致 HFBWPR，开发了几种决策模型。构建模型的主要特征是它们考虑了 HFBWPR 中包含的所有值，并考虑了相同和不同的折衷限制约束。第三，建立绝对规划模型，利用最优优先权向量信息获取决策者的客观权重，提供决策者综合权重的计算。最后，介绍了基于犹豫模糊BWM的MCDM程序的框架，并结合对比分析提供了一个示例，以证明所提出模型的可行性和有效性。