Picture fuzzy sets (PFSs) utilize the positive, neutral, negative and refusal membership degrees to describe the behaviours of decision-makers in more detail. In this article, we expound the application of extended TODIM based on cumulative prospect theory under picture fuzzy multiple attribute group decision making (MAGDM). In addition, we adopt Information Entropy, which is used to ascertain the weighting vector of attributes to improve the availability of the TODIM method. At last, we exercise the improved TODIM into a numerical case for super market location and testify the effectiveness of this new method by comparing its results with other methods’ results.

中文翻译：

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基于累积前景理论的扩展TODIM图像模糊多属性群决策

图片模糊集（PFS）利用积极、中性、消极和拒绝隶属度来更详细地描述决策者的行为。本文阐述了基于累积前景理论的扩展TODIM在图片模糊多属性群决策(MAGDM)下的应用。此外，我们采用信息熵来确定属性的权重向量，以提高 TODIM 方法的可用性。最后，我们将改进的TODIM 应用到超市选址的数值案例中，并通过将其结果与其他方法的结果进行比较来证明该新方法的有效性。