As the speed of mobile phone updates continues to accelerate, the self-service mobile phone recycling mode, led by third-party reverse logistics providers (3PRLs), has ushered in an important developmental era. This paper proposes a novel interval-valued Pythagorean hesitant fuzzy best-worst multi-criteria large group decision-making method to research the selection of 3PRLs. To minimize the influence of subjective factors and maximize the mathematical analysis method, some related improvements have been made to the traditional best worst method (BWM). First, in order to make an effective strategic assessment and achieve overall optimization of the organization, evaluators are grouped by the self-organized maps (SOM) method to balance the coordination ability and professional level of different groups. Next, the interval Pythagoras hesitant fuzzy set (IPHFS) is used to evaluate the criteria of 3PRLs selection. Then, according to above evaluation results, the BWM method and deviation model are combined to determine the weights of criteria. Finally, the traditional BWM is extended by ranking functions to determine the optimal 3PRL. The applicability of the proposed method is numerically demonstrated by solving a real case, and the key conclusions are that the technical factor is important to affecting the choice of 3PRLs. At the same time, the quantity and price of recycled components on End of Life (EOL) and used mobile phones also have important impacts on the selection of 3PRLs.

随着手机更新速度的不断加快，由第三方逆向物流提供商（3PRL）领导的自助式手机回收模式已经进入了一个重要的发展时代。提出了一种新颖的区间值勾股迟疑模糊最坏多准则大群决策方法，研究了3PRL的选择。为了最大程度地减少主观因素的影响并最大化数学分析方法，对传统的最佳最差方法（BWM）进行了一些相关的改进。首先，为了进行有效的战略评估并实现组织的整体优化，评估人员通过自组织地图（SOM）方法进行分组，以平衡不同团队的协调能力和专业水平。接下来，使用毕达哥拉斯犹豫模糊集（IPHFS）来评估3PRL选择的标准。然后，根据以上评估结果，结合BWM方法和偏差模型来确定标准的权重。最后，通过对功能进行排序来确定最佳3PRL，从而扩展了传统的BWM。通过求解一个实际案例以数值方式证明了该方法的适用性，关键结论是技术因素对于影响3PRL的选择非常重要。同时，寿命终止（EOL）和二手手机上的回收组件的数量和价格也对3PRL的选择产生重要影响。