With the wide use of network, the outbreak of network public opinion emergencies has changed from single to multiple. The goal of the current study is to construct the emergency group decision-making (EGDM) model for multiple network public opinion emergencies under the linguistic intuitionistic environment. First of all, we introduce a new version of Copula and Co-copula named extended Copula (EAC) and extended Co-Copula (EACC), respectively, which can be used to capture the relation of attributes (indexes) in the group decision making problems of network public opinion emergencies; Some special cases of EAC and EACC are gained to manage intuitionistic fuzzy information (IFI). Besides, the novel operational rules of linguisitic intuitionistic fuzzy numbers (LIFNs) based upon EAC and EACC are also defined under linguistic intuitionistic environment. What’s more, by integrating the Choquet integral and the proposed operational rules of LIFNs, the linguistic intuitionistic fuzzy Choquet-Copula aggregation operators (LIFCCA) are proposed together with their properties are also investigated; whilst, five specific forms of LIFCCA are obtained when EAC and EACC take different generators. Last but not least, an EGDM approach is constructed based upon proposed LIFCCA; Consequently, the validities and merits of the proposed EGDM approach are shown by comparing with existing approaches.

随着网络的广泛使用，网络民意紧急事件的爆发已经从单一变为多重。当前研究的目标是在语言直觉环境下构建针对多个网络舆情紧急情况的应急小组决策（EGDM）模型。首先，我们介绍了新版本的Copula和Co-copula，分别称为扩展Copula（EAC）和扩展Co-Copula（EACC），可用于捕获群体决策中的属性（索引）关系网络舆情紧急问题；获得了EAC和EACC的一些特殊情况来管理直觉模糊信息（IFI）。除了，在语言直觉环境下，还定义了基于EAC和EACC的语言直觉模糊数（LIFN）的新运算规则。此外，通过将Choquet积分和LIFNs的拟议操作规则相结合，研究了语言直觉模糊Choquet-Copula聚合算子（LIFCCA）及其性质。当EAC和EACC使用不同的发电机时，可获得五种特定形式的LIFCCA。最后但并非最不重要的一点是，基于提议的LIFCCA构建了EGDM方法。因此，通过与现有方法进行比较，表明了所提出的EGDM方法的有效性和优点。提出了语言直觉模糊Choquet-Copula聚合算子（LIFCCA），并对其性质进行了研究。当EAC和EACC使用不同的发电机时，可获得五种特定形式的LIFCCA。最后但并非最不重要的一点是，基于提议的LIFCCA构建了EGDM方法。因此，通过与现有方法进行比较，表明了所提出的EGDM方法的有效性和优点。提出了语言直觉模糊Choquet-Copula聚合算子（LIFCCA），并对其性质进行了研究。当EAC和EACC使用不同的发电机时，可获得五种特定形式的LIFCCA。最后但并非最不重要的一点是，基于提议的LIFCCA构建了EGDM方法。因此，通过与现有方法进行比较，表明了所提出的EGDM方法的有效性和优点。