In intuitionistic fuzzy set and their generalizations such as Pythagorean fuzzy sets and q‐rung orthopair fuzzy sets, ranking is not easy to define. There are several techniques available in literature for ranking values in above mentioned orthopair fuzzy sets. It is interesting to see that almost all the proposed ranking methods produce distinct ranking. Notion of knowledge base is very important to study ranking proposed by different techniques. Aim of this paper is to critically analyze the available ranking techniques for q‐rung orthopair fuzzy values and propose a new graphical ranking method based on hesitancy index and entropy. Several numerical examples are tested with the proposed technique, which shows that the technique is intuitive and convenient for real life applications.

中文翻译：

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一种新的 q-rung orthopair 模糊值排序技术

在直觉模糊集及其泛化（如勾股模糊集和 q-rung orthopair 模糊集）中，排序不容易定义。文献中有几种技术可用于对上述正交对模糊集中的值进行排序。有趣的是，几乎所有提出的排名方法都会产生不同的排名。知识库的概念对于研究不同技术提出的排名非常重要。本文的目的是批判性地分析 q-rung orthopair 模糊值的可用排序技术，并提出一种基于犹豫指数和熵的新图形排序方法。使用所提出的技术测试了几个数值例子，这表明该技术对于现实生活应用来说是直观和方便的。