Fuzzy set theory has been proposed as a means for modeling the vagueness in complex systems. Fuzzy systems usually employ type-1 fuzzy sets, representing uncertainty by numbers in the range [0, 1]. Despite commercial success of fuzzy logic, a type-1 fuzzy set (T1FS) does not capture uncertainty in its manifestations when it arises from vagueness in the shape of the membership function. Such unc...

We know that increasing fuel consumption, high environmental pollution and time wasting are the visible results of high traffic density. Developing new directions or even highways is alternative way to solve this problem. It may add several junctions. Therefore junction controlling is very important, because their usual operation will cause problem if they remain without control. This not only ...

One of the advantages systems based on fuzzy logic (fuzzy systems) is possibility a soft switch from one set values input parameters system to another, when different conclusions are drawn for sets these values. A type 2 direct generalization an ordinary set. In this paper, we review some branches theory type-2 and systems. We discuss operations sets, relations, centroids describe functional re...

Power electronic devices and variable speed drives solve a power quality issue. To increase the quality, distribution side must be compensated by concurrently infusing actual reactive power. A cost-effective method of preventing voltage sag swell in loads is use dynamic restorer. enhance for end users, DC-link component will combined with DVR. Ratings DC-Link elements inverters are more challen...

An industrial weigh belt feeder is used to transport solid materials into a manufacturing process at a constant feedrate. It exhibits nonlinear behavior because of motor friction, saturation, and quantization noise in the sensors, which makes standard autotuning methods difficult to implement. This paper proposes and experimentally demonstrates two types of fuzzy logic controllers for an indust...

Planning resources for a supply chain is a major factor determining its success or failure. In this paper we build on previous work introducing an Interval Type-2 Fuzzy Logic model of a multiple echelon supply chain. It is believed that the additional degree of uncertainty provided by Interval Type-2 Fuzzy Logic will allow for better representation of the uncertainty and vagueness present in re...

This paper present a type-2 fuzzy logic system can be applied to a mobile robot which is a project associates with using eight ultrasonic sensors as distance sensors. The inputs are obtained from ultrasonic sensors mounted. These inputs are sent to a microchip PIC 16F84 microcontroller onboard the robot, which analysis the data and provides the necessary control signal. The behavior based contr...

This paper proposes a novel fuzzy modeling approach for identification of dynamic systems. A fuzzy model, recurrent interval type-2 fuzzy neural network (RIT2FNN), is constructed by using a recurrent neural network which recurrent weights, mean and standard deviation of the membership functions are updated. The complete back propagation (BP) algorithm tuning equations used to tune the anteceden...

This article mainly focuses on the utilization of shadowed type-2 fuzzy systems used to achieve goal dynamically adapting parameters two already known algorithms in literature: harmony search and differential evolution algorithms. It has been established that logic enhances performance metaheuristics by enabling parameter adaptation; however, results an increased execution time. For this reason...