Decision-making trial and evaluation laboratory (DEMATEL) method is comprehensively applied in the complicated socioeconomic system. Existing literatures on DEMATEL focus on static decision environment at single time node. However, due to the increasingly complex and rapidly changing socioeconomic environment, decision-making has become more complex and dynamic. In this paper, dynamic group DEMATEL method based on hesitant fuzzy linguistic term sets (HFLTSs) is proposed. In the view of the multi-stage, multi-factor and multi-expert complex decision-making situation, the method fully integrates the decision-making information of different periods from the perspective of dynamic evolution mechanism which can effectively link multi rounds DEMATEL decision-making process and reflect the time evolution of dynamic decision-making. Meanwhile, the TOPSIS method is applied to determine the weight of experts, which can effectively solve the influence of the best choice (positive ideal solution) and the worst choice (negative ideal solution) on the decision results in aggregation of group experts' preference information, and fully consider the influence of hesitation and fuzziness of expert preference representation on expert weight. Finally, a numerical comparison is given to verify validity and effectiveness of the proposed approach.

决策试验和评估实验室（DEMATEL）方法被广泛应用于复杂的社会经济系统中。关于DEMATEL的现有文献集中于单个时间节点上的静态决策环境。但是，由于社会经济环境日趋复杂和快速变化，决策变得更加复杂和动态。提出了一种基于犹豫模糊语言术语集（HFLTSs）的动态群DEMATEL方法。针对多阶段，多因素，多专家的复杂决策情况，该方法从动态演化机制的角度全面整合了不同时期的决策信息，可以有效地将多轮DEMATEL决策联系起来。决策过程并反映动态决策的时间演变。同时，采用TOPSIS法确定专家的权重，可以有效地解决最佳选择（正理想解）和最差选择（负理想解）对群体专家偏好信息汇总决策结果的影响，充分考虑专家偏好表示的犹豫和模糊对专家权重的影响。最后，通过数值比较验证了所提方法的有效性和有效性。并充分考虑专家偏好表示的犹豫和模糊对专家权重的影响。最后，通过数值比较验证了所提方法的有效性和有效性。并充分考虑专家偏好表示的犹豫和模糊对专家权重的影响。最后，通过数值比较验证了所提方法的有效性和有效性。