Environmental risks have a significant impact on the sustainability of subway station construction projects. This paper proposes an environmental risk assessment model based on the intuitionistic fuzzy analytic hierarchy process (IFAHP) and set pair analysis (SPA) to deal with the ambiguity and uncertainty in the assessment. An index system for environmental risk assessment is established based on a literature review and the rough set method. Subsequently, the IFAHP is used to calculate the indicator weights to describe the certainty, uncertainty, and hesitation degree of expert decisions in the weighting calculation by means of affiliation, nonaffiliation, and hesitation. Finally, SPA, which can deal with the randomness, uncertainty, and ambiguity of the indicators, is used to assess environmental risk. A case study of two typical stations (Lushan Avenue Station and Huilong Road West Station) of Metro Line 11 in Chengdu, China, is conducted. The case study results are consistent with field surveys. The evaluation results of the proposed model are more objective and reasonable than those of the traditional analytic hierarchy process, the entropy weight method, fuzzy comprehensive evaluation, grey correlation analysis, and technique for order of preference by similarity to an ideal solution (TOPSIS). The research results prove the scientific validity and superiority of the proposed model.

中文翻译：

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运用直觉模糊层次分析法和集对分析法对实现可持续发展的地铁车站环境风险评估

环境风险对地铁车站建设项目的可持续性具有重大影响。本文提出了一种基于直觉模糊层次分析法和集合对分析法的环境风险评估模型，以处理评估中的歧义和不确定性。基于文献综述和粗糙集方法，建立了环境风险评价指标体系。随后，IFAHP用于计算指标权重，以通过隶属，不隶属和犹豫来描述加权计算中专家决策的确定性，不确定性和犹豫程度。最后，可以处理指标的随机性，不确定性和歧义性的SPA用于评估环境风险。以成都地铁11号线的两个典型车站（芦山大街车站和回龙路西站）为例。案例研究结果与现场调查一致。该模型的评估结果比传统的层次分析法，熵权法，模糊综合评估，灰色关联分析以及与理想解决方案相似的偏好排序技术（TOPSIS）更加客观，合理。研究结果证明了该模型的科学有效性和优越性。该模型的评估结果比传统的层次分析法，熵权法，模糊综合评估，灰色关联分析以及与理想解决方案相似的偏好排序技术（TOPSIS）更加客观，合理。研究结果证明了该模型的科学有效性和优越性。该模型的评估结果比传统的层次分析法，熵权法，模糊综合评估，灰色关联分析和与理想解决方案相似的偏好排序技术（TOPSIS）更加客观，合理。研究结果证明了该模型的科学有效性和优越性。