The management of end-of-life vehicles (ELVs) is currently one of the most important ecological topics. The recycling process has essential importance for the environmental and economic sustainability of the ELV management. Istanbul has the highest rate of car ownership population in Turkey as well as an old vehicle fleet. There is a strong motivation to open an additional ELV recycling facility in this mega-city. Facility location is one of the crucial strategic problems for decision-makers. Addressing multi-criteria and highly uncertain nature of the ELV recycling facility location problem, this paper introduces a novel approach to support the facility location process. For the first time, an extension of the Additive ratio assessment (ARAS) method under the interval type-2 fuzzy environment is presented. The novel method is utilized for solving the ELV recycling facility location problem. The potentials and applicability of the presented interval type-2 fuzzy ARAS method are demonstrated throughout the real-life case study of Istanbul. The comparison with the available state-of-the-art interval type-2 fuzzy set based MCDM methods approves its validity and consistency.

报废汽车（ELV）的管理目前是最重要的生态主题之一。回收过程对于ELV管理的环境和经济可持续性至关重要。伊斯坦布尔是土耳其拥有汽车的人口最多的国家，并且拥有一支古老的车队。强烈希望在这个大城市开设额外的ELV回收设施。设施选址是决策者的关键战略问题之一。针对ELV回收设施选址问题的多标准和高度不确定性，本文介绍了一种支持设施选址过程的新颖方法。首次提出了区间2型模糊环境下可加比率评估（ARAS）方法的扩展。该新方法用于解决ELV回收设施的位置问题。在伊斯坦布尔的整个实际案例研究中，都证明了所提出的间隔2型模糊ARAS方法的潜力和适用性。与可用的基于最新区间2型模糊集的MCDM方法进行比较，证明了其有效性和一致性。