Aiming at validly improving the efficiency and quality of hospital expert consultation, a consensus model under uncertainty is established to operate a hospital decision support system (HDSS). Considering that expert consultation is commonly used in emergency events associated with life rescue where uncertainty and complexity exist, hesitant fuzzy linguistic terms are adopted. Additionally, since pairwise comparison information is efficient to express individual judgment, a novel concept of satisfaction degree toward hesitant fuzzy linguistic preference relation is utilized to measure the group consensus. A trust-recommendation mechanism is built to generate advice for experts. A consensus model is constructed to handle the HDSS in emergency decision-making problems. Some simulation experiments are designed to verify the availability and reasonability of the proposed model. Then, the proposed model is applied to address the selection of an emergency response plan for the influenza H7N9 virus, and finally, the strong robustness and powerful capability of the proposed model in the consensus reaching process is exhibited by making a comparative analysis among several recommendation mechanisms.

中文翻译：

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基于信任推荐机制的医院专家咨询犹豫模糊语言共识模型

以有效提高医院专家会诊效率和质量为目标，建立不确定性共识模型运行医院决策支持系统（HDSS）。考虑到专家咨询常用于与生命救援相关的紧急事件中存在不确定性和复杂性，因此采用犹豫模糊语言术语。此外，由于成对比较信息可以有效地表达个体判断，因此利用对犹豫模糊语言偏好关系的满意度的新概念来衡量群体共识。建立信任推荐机制来为专家生成建议。构建共识模型来处理紧急决策问题中的 HDSS。设计了一些仿真实验来验证所提出模型的可用性和合理性。然后将所提出的模型应用于H7N9流感病毒应急预案的选择，最后通过对几项建议的对比分析，展示了所提出的模型在达成共识过程中的强大鲁棒性和强大能力。机制。