论文标题
基于累积前景理论的修改EDA方法，用于多个属性群体决策，并具有间隔可评估的直觉模糊信息
Modified EDAS Method Based on Cumulative Prospect Theory for Multiple Attributes Group Decision Making with Interval-valued Intuitionistic Fuzzy Information
论文作者
论文摘要
基于直觉的模糊集（IVIFSS）的间隔值直觉模糊集（IVIFSS）结合了经典决策方法在其研究和应用中引起了人们的关注。经过比较分析后，有多种具有IVIFS信息的经典方法已应用于许多实际问题。在本文中，我们根据IVIFSS下的决策者（DMS）心理因素扩展了基于累积前景理论（CPT）的经典EDA方法。考虑到基于IVIFSS（IVIF-CPT-MABAC）方法的原始EDAS方法考虑到IVIFSS的模糊和不确定特征，并为MAGDM问题构建了原始的EDA方法。同时，信息熵方法用于评估属性重量。最后，已经给出了绿色技术风险投资项目选择的数值示例，并使用一些比较来说明IVIF-CPT-MABAC方法的优势，并应用了一些比较分析和灵敏度分析来证明这种新方法的有效性和稳定性。
The Interval-valued intuitionistic fuzzy sets (IVIFSs) based on the intuitionistic fuzzy sets combines the classical decision method is in its research and application is attracting attention. After comparative analysis, there are multiple classical methods with IVIFSs information have been applied into many practical issues. In this paper, we extended the classical EDAS method based on cumulative prospect theory (CPT) considering the decision makers (DMs) psychological factor under IVIFSs. Taking the fuzzy and uncertain character of the IVIFSs and the psychological preference into consideration, the original EDAS method based on the CPT under IVIFSs (IVIF-CPT-MABAC) method is built for MAGDM issues. Meanwhile, information entropy method is used to evaluate the attribute weight. Finally, a numerical example for project selection of green technology venture capital has been given and some comparisons is used to illustrate advantages of IVIF-CPT-MABAC method and some comparison analysis and sensitivity analysis are applied to prove this new methods effectiveness and stability.
