Document Type: Research Paper


University of Ostrava, Institute for Research and Applications of Fuzzy Modeling, NSC IT4Innovations, 30. dubna 22, 701 03 Ostrava 1, Czech Republic


In this paper we turn the attention to a well developed theory of fuzzy/lin\-guis\-tic models that are interpretable and, moreover, can be learned from the data.
We present four different situations demonstrating both interpretability as well as learning abilities of these models.


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