Typical Characteristics-based Type-2 Fuzzy C-Means Algorithm
IEEE Transactions on Fuzzy Systems（2021）
摘要
Type-2 fuzzy sets provide an efficient vehicle for handling uncertainties of real-world problems, including noisy observations. Bringing type-2 fuzzy sets to clustering algorithms offers more flexibility to handle uncertainties associated with membership concepts caused by a noisy environment. However, the existing type-2 fuzzy clustering algorithms suffer from a time-consuming type-reduction proc...
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关键词
Clustering algorithms,Fuzzy sets,Noise measurement,Phase change materials,Uncertainty,Linear programming,Partitioning algorithms
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