A NOTE TO INTERPRETABLE FUZZY MODELS AND THEIR LEARNING

نویسندگان
Novak, Vilem ID 1

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

doi
10.22111/ijfs.2016.2943
چکیده

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.

کلیدواژه‌ها
Fuzzy Natural Logic, Perception-based logical deduction, Learning. } newlineindent{footnotesize {The paper has been supported by the project IT4I XS (LQ1602)