For generalised type-2 fuzzy sets the defuzzification process has historically been slow and inefficient. This has hampered the development of type-2 Fuzzy Inferencing Systems for real applications and therefore no advantage has been taken of the ability of type-2 fuzzy sets to model higher levels of uncertainty. The research reported here provides a novel approach for improving the speed of de...

In this paper, a novel method for tuning the parameters of fuzzy controllers is discussed. The aim of the design is to extract a tuning law for the defuzzifier parameters such that the specifications of the control problem are met and the adjustable parameters evolve boundedly. The achievement of these specifications is a challenge in the presence of strong external disturbances, ambiguities in...

This paper presents a novel H tracking-based direct adaptive fuzzy controller (HDAFC) for a class of perturbed uncertain affine nonlinear systems involving external disturbances and measurement noise. A practical interval type-2 (IT2) fuzzy logic system (FLS) is introduced to approximate the ideal control law. To eliminate the tradeoff between H tracking performance and high gain at the control...

In this paper we shows the experimental results using a microcontroller and hardware integration with the EMC2 software, using the Fuzzy Gain Scheduling PI Controller in a mechatronic prototype. The structure of the fuzzy 157 Research in Computing Science 116 (2016) pp. 157–169; rec. 2016-03-23; acc. 2016-05-11 controller is composed by two-inputs and two-outputs, is a TITO system. The error co...

I Acknowledgments IV List of Figures X List of Tables XIV List of Abbreviations XV Publications Arising from This Work XVIII Chapter 1: Introduction .................................................................................................. 1 1.1 Aims, Significance, Novelty ........................................................................... 6 1.1.1 Aims .............................

As there are many possibilities to select the set of basic operators used in the fuzzy inference process, the search for the fuzzy operators that are most suitable for the different steps of a fuzzy system, their characterization and evaluation, can be included among the most important topics in the field of fuzzy logic. A better insight into the performances of the alternative operators would ...

This paper reports the use of simulated annealing to design more efficient fuzzy logic systems to model problems with associated uncertainties. Simulated annealing is used within this work as a method for learning the best configurations of interval and general type-2 fuzzy logic systems to maximize their modeling ability. The combination of simulated annealing with these models is presented in...

In this article the task of determining current position pneumatic actuators is considered. The solution to given achieved by using a technical vision system that allows apply fuzzy clustering method determine in real time center coordinates and displacement color label located on mechatronic complex actuators. objective work improve accuracy moving actuator’s improving recognition. intellectua...

Traditional deep learning methods are suboptimal in classifying ambiguity features, which often arise noisy and hard to predict categories, especially, distinguish semantic scoring. Semantic scoring, depending on logic implement evaluation, inevitably contains fuzzy description misses some concepts, for example, the ambiguous relationship between normal probably always presents unclear boundari...

Currently, in Iran's banking system, non-repayment of facilities has become one of the biggest issues, and due to the lack of a proper system for proper allocation of facilities, they face a number of problems, including the problem of allocation of loans, the problem of failure to repay loans Of the central bank, or the amount of facilities increased from the amount of reimbursement. The solut...