Fuzzy controllers in general are designed using the experts’ knowledge or human experience in order to decide the settings of a number of system factors. However, the relations between the factors and system performance are not easy to be determined. Usually, more than one system performance characteristic is considered. For determining the settings of factors in a systematical way, we apply Ta...

Current methods for sleep stage detection rely on sensors to collect physiological data. These are inaccurate and take up considerable medical resources. Thus, in this study, we propose a Taguchi-based multiscale convolutional compensatory fuzzy neural network (T-MCCFNN) model automatically detect classify stages. In the proposed T-MCCFNN model, convolution kernels extract features of input ele...

This goal of this study was to find the optimal processing parameters for PET/TiO2 UV-cut fiber in order to work out its maximal strength. UV-cut means PET/TiO2 fiber attenuates the transmission of UV-radiation. The hybrid Taguchi and fuzzy approach was applied to resolve the problem as regards optimization of multiple quality characteristics, and further discover the optimal conditions for PET...

A hybrid sliding level Taguchi-based particle swarm optimization (HSLTPSO) algorithm is proposed for solving multi-objective flowshop scheduling problems (FSPs). The proposed HSLTPSO integrates particle swarm optimization, sliding level Taguchi-based crossover, and elitist preservation strategy. The novel contribution of the proposed HSLTPSO is the use of a PSO to explore the optimal feasible r...

1. In poultry investigations, the main interest is often to study the effects of many factors simultaneously. Two or three level factorial designs are the most commonly used for this type of investigation. However, it is often too costly to perform when number of factors increase. So a fractional factorial design, which is a subset or a fraction of a full factorial design, is an alternative. Th...