Pythagorean fuzzy sets, a generalization of intuitionistic fuzzy sets, can effectively handle uncertain, incomplete and inconsistent information involved in real-life multi-criteria decision making (MCDM) problems. Preference ranking organization method for enrichment of evaluation (PROMETHEE) is one of the popular methods for solving MCDM problem. In this paper, we extend the PROMETHEE method with Pythagorean fuzzy sets. We illustrate the proposed model with a numerical example and compare the method with some existing Pythagorean fuzzy sets-based methods. We also solve a medical diagnosis problem using the proposed Pythagorean fuzzy PROMETHEE method and highlight some advantages of the proposed method.

勾股模糊集是直觉模糊集的泛化，可以有效处理涉及现实多标准决策（MCDM）问题的不确定，不完整和不一致的信息。优先级排序的组织评估方法（PROMETHEE）是解决MCDM问题的流行方法之一。在本文中，我们扩展了勾股模糊集的PROMETHEE方法。我们通过一个数值例子来说明所提出的模型，并将其与一些现有的基于毕达哥拉斯模糊集的方法进行比较。我们还使用提出的毕达哥拉斯模糊PROMETHEE方法解决了医学诊断问题，并突出了该方法的一些优势。