Monia Tlili

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Generally real data sets are naturally defined in a fuzzy context. Moreover, in real applications there is no sharp boundary between classes. Therefore, fuzzy clustering is better suited for complex real data sets to determine the best distribution. In this paper we present a new fuzzy learning approach called FMIG (Fuzzy Multilevel Interior Growing(More)
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