In this paper, we apply evaluation based on distance from average solution (EDAS) approach to multiple criteria group decision-making (MCGDM) with bipolar fuzzy numbers (BFNs). We reconsider the notion of BFNs and propose its corresponding operational rules, score and accuracy functions. Further, we introduce two aggregation operators and develop an MCGDM approach based on conventional EDAS model with overall BFNs. The proposed technique is valid and accurate for considering the conflicting attributes. We analyse the proposed method by considering a numerical example for the selection of road construction company project to show the effectiveness of the developed approach. At last, we compare the developed systems with some existing operators to deliver its efficiency.

在本文中，我们将基于距平均解的距离（EDAS）方法的评估应用于具有双极模糊数（BFN）的多准则组决策（MCGDM）。我们重新考虑了BFN的概念，并提出了其相应的操作规则，评分和准确性功能。此外，我们引入了两个聚合运算符，并基于具有整体BFN的常规EDAS模型开发了MCGDM方法。所提出的技术对于考虑冲突属性是有效且准确的。我们通过考虑一个数值示例对道路建设公司项目进行选择来分析所提出的方法，以显示该方法的有效性。最后，我们将开发的系统与一些现有的运营商进行比较，以提供其效率。