The interval-valued intuitionistic fuzzy sets (IVIFSs), based on the intuitionistic fuzzy sets (IFSs), combine the classical decision method and its research and application is attracting attention. After a comparative analysis, it becomes clear that multiple classical methods with IVIFSs’ information have been applied to many practical issues. In this paper, we extended the classical EDAS method based on the Cumulative Prospect Theory (CPT) considering the decision experts (DEs)’ psychological factors under IVIFSs. Taking the fuzzy and uncertain character of the IVIFSs and the psychological preference into consideration, an original EDAS method, based on the CPT under IVIFSs (IVIF-CPT-EDAS) method, is created for multiple-attribute group decision making (MAGDM) issues. Meanwhile, the information entropy method is used to evaluate the attribute weight. Finally, a numerical example for Green Technology Venture Capital (GTVC) project selection is given, some comparisons are used to illustrate the advantages of the IVIF-CPT-EDAS method and a sensitivity analysis is applied to prove the effectiveness and stability of this new method. PDF  XML

中文翻译：

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基于累积前景理论的扩展EDAS区间值直觉模糊信息多属性群决策方法

区间值直觉模糊集(IVIFSs)是在直觉模糊集(IFSs)的基础上结合经典决策方法而提出的，其研究和应用备受关注。经过比较分析，很明显，多种基于IVIFS信息的经典方法已应用于许多实际问题。在本文中，我们基于累积前景理论（CPT）扩展了经典的 EDAS 方法，考虑了 IVIFS 下决策专家（DE）的心理因素。考虑到IVIFS的模糊性和不确定性以及心理偏好，在IVIFS下的CPT（IVIF-CPT-EDAS）方法的基础上，针对多属性群决策（MAGDM）问题创建了一种独创的EDAS方法。同时，采用信息熵方法评估属性权重。最后给出了绿色科技风险投资（GTVC）项目选择的数值例子，通过比较说明了IVIF-CPT-EDAS方法的优势，并通过敏感性分析证明了该新方法的有效性和稳定性。 。PDF XML