The location of the electric vehicle charging station is deemed to be a multiple attribute group decision making (MAGDM) issue involving many experts and many conflicting attributes. In practical MAGDM issues, the information of uncertain and fuzzy cognitive decision is well-depicted by linguistic term sets (LTSs). These LTSs could be simply shifted into the probabilistic linguistic sets (PLTSs). In such paper, we design some novel probabilistic linguistic weighted Dice similarity measures (PLWDSM) and the probabilistic linguistic weighted generalized Dice similarity measures (PLWGDSM). Subsequently, the PLWGDSM-based MAGDM methods are presented under PLTSs. In the end, a practical case which concerns about the location planning of electric vehicle charging stations is offered to demonstrate the proposed PLWGDSM’s applicability and advantages.

电动汽车充电站的位置被认为是涉及多个专家和许多相互冲突的属性的多属性组决策（MAGDM）问题。在实际的MAGDM问题中，不确定性和模糊认知决策的信息由语言术语集（LTS）很好地描述。这些LTS可以简单地转移到概率语言集（PLTS）中。在本文中，我们设计了一些新颖的概率语言加权Dice相似度度量（PLWDSM）和概率语言加权广义Dice相似度度量（PLWGDSM）。随后，在PLTS下介绍了基于PLWGDSM的MAGDM方法。最后，提供了一个有关电动汽车充电站位置规划的实际案例，以证明所提出的PLWGDSM的适用性和优势。