Intuitionistic fuzzy MST clustering algorithms |
| |
| Authors: | Hua Zhao Zeshui Xu Shousheng Liu Zhong Wang |
| |
| Affiliation: | 1. Institute of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China;2. Institute of Sciences, PLA University of Science and Technology, Nanjing 210007, China |
| |
| Abstract: | In this paper, we investigate graph theory-based clustering techniques for Atanassov’s intuitionistic fuzzy sets (A-IFSs) and interval-valued intuitionistic fuzzy sets (IVIFSs). We start by introducing the concepts of graph, minimum spanning tree (MST), A-IFS, and intuitionistic fuzzy distance, and develop two intuitionistic fuzzy MST clustering algorithms ( and ). Then we extend Algorithm II for clustering IVIFSs, and show the effectiveness of our algorithms through some numerical experiments. |
| |
| Keywords: | Intuitionistic fuzzy set Minimum spanning tree Interval-valued intuitionistic fuzzy set Graph theory-based clustering algorithm Intuitionistic fuzzy distance |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
