There is an increase in the number of people who have changed their country for compulsory reasons due to the wars experienced worldwide. This raises the problem of identifying the regions where these people, called refugees, will live in the countries. In this regard, we determine in this paper where the camps established for refugees living in Istanbul should be located. The presence of many quantitative and qualitative factors which should be handled in determining the best location has enabled this problem to have multi-criteria decision-making structure. In addition, the advantage of fuzzy logic is used to convert the evaluations taken from experts into available numbers and to include them in decision-making process. For this purpose, a novel model with the integration of Pythagorean fuzzy AHP and Pythagorean fuzzy WASPAS methods is proposed for the first time in the literature, to select the best location for the refugee camp. In addition, a comparative analysis is applied to determine the validity of the results obtained and the sensitivity analysis is applied to check the robustness of the model. As a result, the most suitable location for a refugee camp in Istanbul is identified reasonably with the proposed model.

由于世界范围内经历的战争，出于强制性原因改变国家的人数有所增加。这就提出了确定这些被称为难民的人将在这些国家居住的地区的问题。对此，我们在本文中确定了为居住在伊斯坦布尔的难民建立的营地应设在何处。在确定最佳位置时应处理的许多定量和定性因素的存在使该问题具有多标准决策结构。此外，模糊逻辑的优势被用来将专家的评价转化为可用的数字，并将它们包含在决策过程中。以此目的，文献中首次提出了一种融合勾股模糊层次分析法和勾股模糊WASPAS方法的新模型，以选择难民营的最佳位置。此外，应用比较分析来确定所得结果的有效性，并应用敏感性分析来检查模型的稳健性。因此，伊斯坦布尔难民营的最合适位置被提议的模型合理地确定。