Type-2 FLCs: A New Generation of Fuzzy Controllers

By Hani Hagras. IEEE Computational Intelligence Magazine, 2007

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Fuzzy Control Systems: Past, Present and Future (2019, background): “Hence, type-2 T-S fuzzy systems are very useful in the cases where exact MFs are difﬁcult to be chosen and/or there is a need to cope with large amounts of uncertainties [89], [90].”
Uncertainty measures for interval type-2 fuzzy sets (2007, background): “To date, interval T2 (IT2) FSs are the most widely used T2 FSs, and have been used successfully for decision making [76,55,59,66], time-series forecasting [46,4], survey processing [46,3,42], document retrieval [8], speech recognition [88,45], noise cancellation [12,54], word modeling [50,72,42], cl”
On the Fundamental Differences Between Interval Type-2 and Type-1 Fuzzy Logic Controllers (2012, methodology): “Despite having a name that carries the connotation of uncertainty, research has shown that there are limitations in the ability of T1 FSs to model and minimize the effect of uncertainties [20], [21], [31], [60].”