Due to the complexity of decision making under uncertainty and the existence of various and often conflicting criteria, several methods have been proposed to facilitate decision making, and fuzzy logic has been used successfully to address this issue. This paper presents a new framework for solving multi-attributes group decision-making problems under fuzzy environments. The proposed algorithm has several features. First of all, the TODIM (an acronym in Portuguese for interactive multi-criteria decision making) method under interval-valued intuitionistic fuzzy uncertainty is employed. Moreover, objective and subjective weights for each decision maker are used to address this last aggregation approach. To consider weights of attributes, knowledge measure in addition to a new mathematical approach is introduced. A new aggregation and ranking method based on the WASPAS and TOPSIS methods, namely WT method, is presented and applied in this paper. Finally, the effectiveness of the proposed framework is shown by comparing the results with two different real-world applications in the literature.

中文翻译：

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区间直觉模糊不确定性下基于TODIM，WASPAS和TOPSIS概念的多属性群决策的最后聚集新方法

由于不确定性下决策的复杂性以及存在各种且经常相互冲突的标准，因此提出了几种促进决策的方法，并且模糊逻辑已成功用于解决此问题。本文提出了一种解决模糊环境下多属性群体决策问题的新框架。该算法具有几个特点。首先，采用区间直觉模糊不确定性下的TODIM（交互式多准则决策的葡萄牙语缩写）方法。此外，每个决策者的客观和主观权重都用于解决最后一种汇总方法。为了考虑属性的权重，除了新的数学方法之外，还引入了知识度量。提出并应用了一种基于WASPAS和TOPSIS方法的聚合和排序新方法，即WT方法。最后，通过将结果与文献中两个不同的实际应用程序进行比较，显示了所提出框架的有效性。