An Introduction To Hesitant Fuzzy Data Clustering

The purpose of the paper is introducing a new extension of fuzzy sets so-called hesitant fuzzy sets (HFSs) proposed by Torra, which deal with uncertainty and hesitation in real world problems. For instance, it is difficult to determine a certain membership value to assess a data satisfies a feature. Hesitant fuzzy set can be considered as an appropriate tool allowing several possible degrees for an element to a set. So, we can use hesitant fuzzy sets for modeling this kind of vague issues. In this paper, we briefly present some researches which deal with clustering of hesitant fuzzy data.