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Publikováno v:
2017 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM).
The paper deals with the any-time algorithm for fuzzification which converts the format of the physical quantities into the non-overlapping set of precise terms using minimization of the fuzzification cycle duration in real time, thus allowing to red
Publikováno v:
2016 3rd International Conference on Electrical Engineering and Information Communication Technology (ICEEICT).
This paper presents optimization technique to develop type-2 fuzzy systems (FSs) through hybrid genetic algorithms (HGAs). The proposed optimization technique works as follows: (i) Optimize the type-2 membership functions (ii) Learn the rule base thr
Publikováno v:
FUZZ-IEEE
As an integral part of interval type-2 fuzzy logic system (IT2FLS), type reduction (TR) plays a vital role in determining the performance of IT2FLS. Out of many type reduction algorithms, only Karnik-Mendel type TR algorithms capture the essence of i
Publikováno v:
NaBIC
ENC
ENC
This paper describes the optimization of interval type-2 and type-1 fuzzy integrators in ensembles of ANFIS models with genetic algorithms (GAs), this with emphasis on its application to the prediction of chaotic time series, where the goal is to min
Publikováno v:
4th International Conference on Power Engineering, Energy and Electrical Drives.
On the basis of fuzzy logic identification and approximation capability of any kind of nonlinear, continuous functions represented by its discrete set of measured data, a new modeling technique for dynamic ferromagnetic hysteresis is presented using
Publikováno v:
2012 5th International Congress on Image and Signal Processing.
Based on the analysis of correlation among three pose angles, the paper proposed a yaw-aided interacting multiple model tracking algorithm (YAIMM). Firstly, instant angular velocity of the target was estimated from yaw information. Then, applicable m
Publikováno v:
Proceedings of the 10th World Congress on Intelligent Control and Automation.
Boiler steam temperature system shows non-linear and time-varying, so the accurate modeling of steam temperature system is particularly important. A kind of method of fuzzy identification based on improved GK clustering algorithm (λ-sectional set fu
Autor:
Woei Wan Tan, Maowen Nie
Publikováno v:
FUZZ-IEEE
The theory of fuzzy discrete event system (FDES) has been attracting increasing attention from the research community. To improve the ability of a FDES to handle complex uncertainties, the theory of extended fuzzy discrete event system (EFDES) was de
Publikováno v:
ISIE
In this paper, some statistical quantities of the distortion caused by noise in the rule base of type-2 fuzzy logic systems are calculated. In many papers, the justification of better performance of type-2 fuzzy logic systems over type-1 counterparts
Autor:
Juan Moises Mauricio Villanueva, Sebastian Y. C. Catunda, Raimundo C. S. Freire, Ricardo Tanscheit
Publikováno v:
2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings.
In this work, a wind speed measurement model based on Evidence Theory and Data Fusion of the time-of-flight (ToF) information is presented. The fusion is obtained through threshold detection (TH) and phase difference (PD) techniques For this purpose,