A review of the optimization methods used in the design of type-2 fuzzy systems, which are
relatively novel models of imprecision, has been considered in this work. The fundamental …

Nowadays, advances in different fields of technology have increased demands for reliable
controllers. Uncertainty and disturbances, which are inevitable in most real‐world systems …

The main concern of this paper is to address the synchronization problem of chaotic
fractional-order fuzzy cellular neural networks (FOFCNNs) through designing the novel …

Interval type-2 fuzzy sets are more valuable than conventional type-1 fuzzy sets in terms of
covering more uncertain and complex preference information. Interval type-2 trapezoidal …

The theory of interval type-2 fuzzy sets is valuable for modeling impressions in multiple-
criteria decision analysis problems. Based on signed distances, we develop a new linear …

We describe in this book, hybrid intelligent systems using type-2 fuzzy logic for intelligent
control and mobile robotics. Hybrid intelligent systems combine several intelligent …

In the paper, a new and comprehensible definition is proposed for type-2 fuzzy sets (T2
FSs), and the primary and secondary memberships function are defined respectively by …

Long short-term memory (LSTM) neural network shows excellent performance in learning,
processing, and classifying time series data but with some limitations such as high …

In this paper, a micromilling type-2 fuzzy tool condition monitoring system based on multiple
AE acoustic emission signal features is proposed. The type-2 fuzzy logic system is used as …

In this paper, the problem of event-triggered dynamic output feedback model predictive
control (OFMPC) for nonlinear networked control systems (NCSs) with packet loss and …