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In this article a design methodology for Mamdani interval type‐3 fuzzy systems with center‐of‐sets type reduction is outlined. The methodology utilizes statistical measures, fuzzy c‐means clustering and granular computing, to establish the justifiable footprint of uncertainty (JFOU) of the fuzzy granules, as explainable semantic abstractions that form the fuzzy model. The design methodology is presented...