Real-world systems present a variety of challenges to the modeller, not least of which is the problem of uncertainty inherent in their operation. In this research, an Interval Type-2 Fuzzy model is applied to a real-world problem, the goal being to discover a suitable optimisation configuration to enable a search for an inventory plan using the model. To this end, a series of Simulated Annealin...

It has been shown that from the purely mathematical viewpoint, the (traditional) intuitionistic fuzzy logic is equivalent to interval-valued fuzzy logic. In this paper, we show that if we go beyond the traditional “and”and “or”-operations, then intuitionistic fuzzy logic becomes more general than the interval-valued one.

A novel speckle reduction technique based on soft thresholding of wavelet coefficients using interval type II fuzzy system was developed for reducing speckle noise in Optical Coherence Tomography images. The proposed algorithm is an extension of a recently published method for filtering additive Gaussian noise by use of type I fuzzy system. Unlike type I, interval type II fuzzy based thresholdi...

Here, an Indirect Adaptive Interval Type-2 Fuzzy Sliding Mode Control (AIT2FSMC) is introduced for a class of nonlinear systems. In order to approximate unknown nonlinear functions, interval type-2 fuzzy logic system (IT2FLS) can be useful in presence of noisy data and external disturbances. Since, adjusting the interval type-2 fuzzy Membership Functions (MFs) to improve performance is a diffic...

Temporal ontologies contain events that are concepts and roles with references to temporal intervals. Therefore, a temporal ontology induces the interval ontology. We consider fuzzy interval ontologies written in a fuzzy Boolean extension of Allen’s interval logic. Syntactically, the extended logic ELA is the set of all Boolean combinations of propositional variables and sentences of Allen’s in...

In this paper, a comparison among Particle swarm optimization (PSO), Bee Colony Optimization (BCO) and the Bat Algorithm (BA) is presented. In addition, a modification to the main parameters of each algorithm through an interval type-2 fuzzy logic system is presented. The main aim of using interval type-2 fuzzy systems is providing dynamic parameter adaptation to the algorithms. These algorithm...