Journal
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS
Volume 21, Issue 4, Pages 580-590Publisher
SYSTEMS ENGINEERING & ELECTRONICS, EDITORIAL DEPT
DOI: 10.3969/j.issn.1004-4132.2010.04.009
Keywords
intuitionistic fuzzy set (IFS); intuitionistic fuzzy C-means algorithm; clustering; interval-valued intuitionistic fuzzy set (IVIFS)
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Funding
- National Natural Science Foundation of China [70625005]
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Intuitionistic fuzzy sets (IFSs) are useful means to describe and deal with vague and uncertain data. An intuitionistic fuzzy C-means algorithm to cluster IFSs is developed. In each stage of the intuitionistic fuzzy C-means method the seeds are modified, and for each IFS a membership degree to each of the clusters is estimated. In the end of the algorithm, all the given IFSs are clustered according to the estimated membership degrees. Furthermore, the algorithm is extended for clustering interval-valued intuitionistic fuzzy sets (IVIFSs). Finally, the developed algorithms are illustrated through conducting experiments on both the real-world and simulated data sets.
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