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 …

In this paper the optimization of type-2 fuzzy inference systems using genetic algorithms
(GAs) and particle swarm optimization (PSO) is presented. The optimized type-2 fuzzy …

In this paper a new backpropagation learning method enhanced with type-2 fuzzy logic is
presented. Simulation results and a comparative study among monolithic neural networks …

This paper considers two fixed charge transportation problems with type-2 fuzzy parameters.
Unit transportation costs, fixed costs in the first problem and unit transportation costs, fixed …

The major bottleneck in microarray gene expression analysis is the lack of techniques
required to cope up with the uncertain gene functionality and inherent complex gene …

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 …

Hyper-plane-shaped clustering (HPSC) has been demonstrated to be more effective in
Takagi-Sugeno (TS) fuzzy model identification compared to hyper-sphere-shaped …

In this paper, a new interval type-2 fuzzy neural network able to construct non-separable
fuzzy rules with various shapes is introduced for function approximation problems. To reflect …

This study proposes a hybrid fractional order (hy_FO) controlled variable frequency
transformer (VFT) as a phase shifter to coordinate with a type-2 fuzzy controlled flywheel …

In this paper the comparison of a proposed neural network with generalized type-2 fuzzy
weights (NNGT2FW) with respect to the monolithic neural network (NN) and the neural …