Abstract
Since the fuzzy set theory was introduced by Zadeh (1965), many scholars have investigated the issue how to cluster the fuzzy sets, and a lot of clustering algorithms have been developed for fuzzy sets. However, the studies on clustering problems with intuitionistic fuzzy information are still at an initial stage (Wang et al. 2011, 2012; Xu 2009; Xu and Cai 2012; Xu and Wu 2010; Xu et al. 2008, 2011; Zhang et al. 2007; Zhao et al. 2012a, b). Considering their wide range of application prospects of the intuitionistic fuzzy clustering techniques in the fields of medical diagnosis, pattern recognition, etc., in this chapter, we shall give a detailed introduction to the intuitionistic fuzzy clustering algorithms.
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© 2012 Springer-Verlag Berlin Heidelberg
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Xu, Z. (2012). Intuitionistic Fuzzy Clustering Algorithms. In: Intuitionistic Fuzzy Aggregation and Clustering. Studies in Fuzziness and Soft Computing, vol 279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28406-9_2
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DOI: https://doi.org/10.1007/978-3-642-28406-9_2
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28405-2
Online ISBN: 978-3-642-28406-9
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