A review of the applications of interval type-2 fuzzy logic in intelligent control has been
considered in this paper. The fundamental focus of the paper is based on the basic reasons …

Interval type-2 fuzzy logic systems (IT2 FLSs) have demonstrated better abilities to handle
uncertainties than their type-1 (T1) counterparts in many applications; however, the high …

Fractional order PID controller was received attentions in control problems for it had 2
freedom adjustable parameters. Practices had proved that better results could be obtained …

In this paper, the interval type-2 fuzzy proportional–integral–derivative controller (IT2F-PID)
is proposed for controlling an inverted pendulum on a cart system with an uncertain model …

Fuzzy set theory has been proposed as a means for modeling the vagueness in complex
systems. Fuzzy systems usually employ type-1 fuzzy sets, representing uncertainty by …

The volume of obstacles encountered in the marine environment is rapidly increasing, which
makes the development of collision avoidance systems more challenging. Several fuzzy …

Interval Type-2 fuzzy systems allow the possibility of considering uncertainty in models
based on fuzzy systems, and enable an increase of robustness in solutions to applications …

As an undetachable module of type-2 (T2) fuzzy computations and reasoning, type-
reduction methods play an important role in various fuzzy disciplines including fuzzy logic …

The interval type-2 fuzzy logic controller (IT2-FLC) is able to model and minimize the
numerical and linguistic uncertainties associated with the inputs and outputs of a fuzzy logic …

Friction pendulum bearing (FPB) is a sliding-based isolator, widely used in the seismic
design of the bridge structure. However, there is neither unified standard nor complete …