Data, as being the vital input of system modelling, contain dissimilar level of imprecision that
necessitates different modelling approaches for proper analysis of the systems. Numbers …

The aim of this paper is to show that a Generalized Type-2 Fuzzy Control System can
outperform Type-1 and Interval Type-2 Fuzzy Control Systems when external perturbations …

In this paper a new method for the parameterization of general type-2 fuzzy membership
functions. The proposed method describes the methodology, equations and pseudo-code …

A recurring theme in research employing type-2 fuzzy sets is the question of how much
uncertainty in a given context warrants the application of type-2 fuzzy sets and systems over …

A novel direct adaptive interval type-2 fuzzy neural network (FNN) controller in which
linguistic fuzzy control rules can be directly incorporated into the controller is developed to …

In this paper, we illustrate a novel optimization approach based on Multi-objective Particle
Swarm Optimization (MOPSO) and Fuzzy Ant Colony Optimization (FACO). The basic idea is …

In this paper, we present a novel interval-valued fuzzy model-based controller for handling
the effects of uncertainty in controlling a complex dynamical system. Theoretically, model …

Type-2 fuzzy logic controllers are capable of handling different types of uncertainties that
naturally exist in most practical situations. However, the high computation cost of type-2 …

Navigation of autonomous mobile robots in dynamic and unknown environments needs to
take into account different kinds of uncertainties. Type-1 fuzzy logic research has been …

Recently, there has been increasing interest in designing autonomous mobile robots able to
navigate in different types of environment and automatically avoid collisions with obstacles …