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 immediate feedback tracking control system design of heterogeneous robots with
uncertainty is considered to be a significant issue in robotic research. Note that when the …

This article presents a recursive algorithm to compute the generalized centroid of an interval
type-2 fuzzy set. First, a re-expression of the upper and lower limits of the generalized …

This paper presents an improved iterative algorithm for computing the generalized centroid
of an interval type-2 fuzzy set. The properties of the discrete centroid function provide a stop …

Due to the existence of time-varying chaotic disturbances in complex applications, the
chaotic synchronization of sensor systems becomes a tough issue in industry electronics …

This book presents fuzzy logic and LabVIEW FGPA for designing fuzzy logic controllers. This
is a book for implementing fuzzy logic controllers in LabVIEW FPGAs. Despite the FPGA's …

Computing the centroid of an interval type‐2 fuzzy set (IT2 FS) is an important operation in a
type‐2 fuzzy logic system (where it is called type‐reduction), but it is also a potentially time …

Organisations are required to identify, recruit, and foster talented individuals in order to
optimise their own capacity in achieving business outcomes and build a competitive …

Interval type-2 fuzzy logic systems (IT2 FLSs) have a wide range of applications due to their
abilities to handle uncertainties compared to their type-1 counterparts. This paper discusses …

this paper presents a comparative study between two iterative algorithms for computing the
generalized centroid of an interval type-2 fuzzy set. The first procedure is the so called …