The application of fuzzy technology is widely known as a technological revolution. Shortly
after it appeared, its value has rapidly become appreciated. It is absolutely indispensable for …

In this paper, we propose a novel fuzzy logic controller, called linguistic hedge fuzzy logic
controller, to simplify the membership function constructions and the rule developments. The …

In this paper, we try to analyze several conventional neuro-fuzzy learning algorithms, which
are widely used in recent fuzzy applications for tuning fuzzy rules, and give a summarization …

In this paper, we develop a new approach of neuro-fuzzy learning algorithm for tuning fuzzy
rules by using training input–output data, based on the gradient descent method. A major …

Fuzzy logic systems are widely used for control, system identification, and pattern
recognition problems. In order to maximize their performance, it is often necessary to …

Harold Lewis applied a cross-disciplinary approach in his highly accessible discussion of
fuzzy control concepts. With the aid of fifty-seven illustrations, he thoroughly presents a …

Great progresses have been made in the application of fuzzy set theory and fuzzy logic.
Most remarkable area of application is' fuzzy control', where fuzzy logic was first applied to …

Based on the fuzzy clustering method, we improved a neuro-fuzzy learning algorithm. In this
improved approach, before learning fuzzy rules we extract typical data from training data by …

Rat hippocampal neurons reorganized into complex networks in a culture dish with 64
planar microelectrodes and the electrical activity of neurons were recorded from individual …

A tracking problem for controlling the speed and azimuth of a mobile robot driven by two
independent wheels is solved by using a fuzzy Gaussian neural network (FGNN) controller …