In this paper, to improve the situation of singleness of selecting results in hesitant fuzzy set decision-making and expand the range of choices for decision makers, we construct a hesitant fuzzy set clustering algorithm combined with fuzzy matroid operation. The algorithm synthesizes the r-cut set, fuzzy shrinking matroids in the fuzzy matroids and the operational properties of the fuzzy derived matroids, the r value also is used to connect the two types of fuzzy matroids to form a clustering algorithm. Finally, we apply the algorithm to the hesitant fuzzy set decision-making of job seekers choosing recruitment websites, each recruitment website as an optional scheme is divided into three categories of excellent to inferior schemes to provide job seekers with ideas and methods for favorably selecting recruitment websites.

中文翻译：

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基于模糊拟阵的犹豫模糊聚类方法研究

为了改善犹豫模糊集决策中选择结果的单一性，扩大决策者的选择范围，我们构造了一种结合模糊拟阵运算的犹豫模糊集聚类算法。该算法综合了r割集，模糊拟阵中的模糊收缩拟阵和模糊派生拟阵的操作性质，r值还用于连接两种类型的模糊拟阵以形成聚类算法。最后，将该算法应用于求职者选择招聘网站的犹豫模糊集决策中，每个招聘网站作为一个可选方案分为三类优劣方案，为求职者提供了有利于择业的思路和方法。网站。