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An MST cluster analysis method under hesitant fuzzy environment

Zhang X., Xu Z.

Control and Cybernetics

2012

Vol. 41, no. 3

645-666

Hesitant fuzzy sets (HFSs) are useful means to describe and deal with uncertain data. In this article, a minimal spinning tree (MST) algorithm based clustering technique under hesitant fuzzy environment is proposed. We first introduce the concepts of graph, MST, HFS, and hesitant fuzzy distance. Then, we present a hesitant fuzzy MST clustering algorithm to perform clustering analysis of HFSs via some hesitant fuzzy distances, and finally illustrate the effectiveness of our algorithm through two numerical examples.