Targeted at emergency plans for rainstorm and waterlogging disasters in subway station projects, this work proposes a group decision-making method that uses linguistic intuitionistic fuzzy sets, structural entropy weights, and TOPSIS. An evaluation index system of emergency plans was constructed based on four aspects, namely a scientific basis, completeness, operability, and flexibility. A linguistic interval intuitionistic fuzzy set approach was then used to qualitatively present the decision-makers' understanding of, attitudes about, and preferences for emergency plans. The uncertainty was comprehensively and intuitively represented by the dimensions of the degrees of membership and non-membership. The structural entropy weight method was applied and improved to fully reflect the influences of experts with different characteristics on the index weights. Finally, the TOPSIS method, with a background context of linguistic interval intuitionistic fuzzy sets, was applied. The calculation results of benchmark and verification case highlight the rationality and scientificity of the method proposed in this paper. The emergency decisions regarding waterlogging in 2018 for the Huilong Road West Station Project of Chengdu Metro Line 11 in China were selected as a case study. The case study demonstrates that operability is the most critical of the four primary indicators, and that flexible response to changes in the emergency response level is the most important of the secondary indicators. The uncertainty analysis of data revealed that with the increase of uncertainty, the difference between each scheme and the ideal solution decreased. Compared with the classical TOPSIS method, the new model proposed in this paper is robust and effective, and can be used for similar projects in the future.

中文翻译：

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基于语言直觉模糊集和TOPSIS的地铁车站项目内涝灾害应急预案决策研究

针对地铁车站项目暴雨和涝灾的应急预案，这项工作提出了一种使用语言直觉模糊集，结构熵权和TOPSIS的群体决策方法。从科学依据，完整性，可操作性和灵活性四个方面构建了应急预案评价指标体系。然后使用语言间隔直觉模糊集方法定性地展示决策者对应急计划的理解，态度和偏好。不确定性由成员资格和非成员资格程度的维度全面直观地表示。应用和改进了结构熵权法，以充分反映不同特征的专家对指标权重的影响。最后，在语言区间直觉模糊集的背景下，采用了TOPSIS方法。基准和验证案例的计算结果突出了本文提出方法的合理性和科学性。以成都地铁11号线回龙路西站项目2018年内涝应急预案为案例研究。案例研究表明，可操作性是四个主要指标中最关键的，而对应急响应水平变化的灵活响应是次要指标中最重要的。数据的不确定性分析表明，随着不确定性的增加，每种方案与理想解之间的差异减小。与经典的TOPSIS方法相比，本文提出的新模型是鲁棒且有效的，并且可以在未来的类似项目中使用。