Group decision making (GDM) can be defined as an environment where there exist a set of possible alternatives and a set of individuals (experts, judgements, etc.). Preference relation is one of the most widely used preference representation structures in GDM. Considering that the self-confidence degree is an important part to express preference information, and double hierarchy linguistic preference relation (DHLPR) is a cognitive complex linguistic information representation tool to express complex linguistic information, this paper presents a novel preference relation named as self-confident DHLPR. In addition, a weight-determining method is developed, which considers three kinds of information including the subjective weights and two kinds of objective weights. Furthermore, a consensus model is set up to manage the GDM problems with self-confident DHLPRs based on the priority ordering theory. The effectiveness of the proposed consensus model is illustrated by a case study concerning the selection of optimal hospitals in the field of Telemedicine. Finally, a simulation experiment is devised to testify the proposed consensus model and then some comparisons with other consensus reaching models are provided from three different angles including the number of iterations, the consensus success ratio and the distance between the original and adjusted preferences.

群体决策（GDM）可以定义为一种环境，其中存在一组可能的替代方案和一组个人（专家，判断等）。偏好关系是GDM中使用最广泛的偏好表示结构之一。考虑到自信心是表达偏好信息的重要组成部分，而双层语言偏好关系（DHLPR）是表达复杂语言信息的认知复杂语言信息表示工具，本文提出了一种新颖的偏好关系，称为自我偏好。充满信心的DHLPR。此外，开发了一种权重确定方法，该方法考虑了三种信息，包括主观权重和两种客观权重。此外，基于优先级排序理论，建立了一个共识模型来管理具有自信DHLPR的GDM问题。关于远程医疗领域选择最佳医院的案例研究说明了所提出共识模型的有效性。最后，设计了一个仿真实验来验证所提出的共识模型，然后从三个不同的角度与其他达成共识的模型进行一些比较，包括迭代次数，共识成功率以及原始偏好与调整偏好之间的距离。