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While the Takagi–Sugeno–Kang (TSK) fuzzy system has been extensively applied to regression, the aim of this paper is to unveil its potential for classification, of multiple tasks in particular. First, a novel TSK fuzzy classifier (TSK-FC) is presented for pattern classification by integrating the large margin criterion into the objective function. Where multiple tasks are concerned, it has been shown...
The classical fuzzy system modeling methods have been typically developed for the single task modeling scene, which is essentially not in accordance with many practical applications where a multi-task problem must be considered for the given modeling task. Although a multi-task problem can be decomposed into many single-task sub-problems, the modeling results indeed tell us that the individual modeling...
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