Jul 07, 2020

Recent Advances In Interval Type 2 Fuzzy Systems Springerbriefs In Applied Sciences And Technology

recent advances in interval type 2 fuzzy systems springerbriefs in applied sciences and technology

Combining type-2 fuzzy logic with optimization algorithms, powerful hy-brid intelligent systems have been built using the advantages that each technique offers. This book is intended to be a reference for scientists and engineers interested in applying type-2 fuzzy logic for solving problems in pattern recognition, intelligent control, intelligent manufacturing, robotics and automation.

Recent Advances in Interval Type-2 Fuzzy Systems | Oscar ...

Recent Advances in Interval Type-2 Fuzzy Systems Oscar Castillo , Patricia Melin (auth.) This book reviews current state of the art methods for building intelligent systems using type-2 fuzzy logic and bio-inspired optimization techniques.

Recent advances in interval type-2 fuzzy systems (eBook ...

|a Recent advances in interval type-2 fuzzy systems |h [electronic resource] / |c Oscar Castillo, Patricia Melin. 260 |a Berlin ; |a New York : |b Springer, |c c2012. 300 |a 1 online resource (x, 90 p.) 490: 1 |a SpringerBriefs in applied sciences and technology, Computational intelligence |x 2191-530X 504

Recent Advances in Interval Type-2 Fuzzy Systems - CORE

This paper introduces a new non-parametric method for uncertainty quantification through construction of prediction intervals (PIs). The method takes the left and right end points of the type-reduced set of an interval type-2 fuzzy logic system (IT2FLS) model as the lower and upper bounds of a PI.

Other Methods for Optimization of Type-2 Fuzzy Systems ...

Cite this chapter as: Castillo O., Melin P. (2012) Type-2 Fuzzy Logic Systems. In: Recent Advances in Interval Type-2 Fuzzy Systems. SpringerBriefs in Applied Sciences and Technology, vol 1.

Recent Advances in Interval Type-2 Fuzzy Systems eBook by ...

Introduction --Type-2 Fuzzy Logic Systems --Bio-Inspired Optimization Methods --Overview of Genetic Algorithms Applied in the Optimization of Type-2 Fuzzy Systems --Particle Swarm Optimization in the Design of Type-2 Fuzzy Systems --Ant Colony Optimization Algorithms for the Design of Type-2 Fuzzy Systems --Other Methods for Optimization of ...

INTRODUCTION TO INTERVAL TYPE-2 FUZZY LOGIC SYSTEMS

Abstract: This paper presents an approach to prediction based on a new interval type-2 Atanassov-intuitionistic fuzzy logic system (IT2AIFLS) of the Takagi-Sugeno-Kang fuzzy inference with neural network learning capability. The gradient descent algorithm is used to adapt the parameters of the IT2AIFLS. The empirical comparison is made on the designed system using some benchmark regression ...

Advances in type-2 fuzzy sets and systems - ScienceDirect

This book describes the most recent advances in intelligent techniques such as fuzzy logic, neural networks, and optimization algorithms, outlines the applications of this kind of systems, and meets the main goal of ideas and current research being shared and new targets/problems identified

Bio-Inspired Optimization Methods | Springer for Research ...

Recent Advances in Interval Type-2 Fuzzy Systems. por Oscar Castillo,Patricia Melin. SpringerBriefs in Applied Sciences and Technology (Book 1) ¡Gracias por compartir! Has enviado la siguiente calificación y reseña. Lo publicaremos en nuestro sitio después de haberla revisado.

Advances in Fuzzy Systems | Hindawi

In this paper, a synthesis approach of model predictive control (MPC) is proposed for interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy system with quantization error, bounded disturbance, and data loss. The novelty lies in the following technical improvements. In order to reduce the redundant data transmission, an event-triggered communication scheme is applied to determine whether the control ...

Comparison of Interval Type-2 Fuzzy Logic Controller with ...

Castillo, O. and P. Melin, Recent Advances in Interval Type-2 Fuzzy Systems. SpringerBriefs in Applied Sciences and Technology. Vol. 1. 2012, USA: Springer. Castro, J.R., O. Castillo, and L.G. Martínez, Interval Type-2 Fuzzy Logic Toolbox. Engineering Letters, 2007. 15(1).

(PDF) Method for Measurement of Uncertainty Applied to the ...

Embedding a high speed interval type-2 fuzzy controller for a real plant into an FPGA ... Melin, P. and Rodríguez, A., Building Fuzzy Inference Systems with a new Interval Type-2 Fuzzy Logic Toolbox, Transactions on Computational Science, vol. 4750. 2008. Springer-Verlag. ... Embedding a high speed interval type-2 fuzzy controller for a real ...

Ensembles of Type 2 Fuzzy Neural Models and Their ...

springer, This book explores recent developments in the theoretical foundations and novel applications of general and interval type-2 fuzzy sets and systems, including: algebraic properties of type-2 fuzzy sets, geometric-based definition of type-2 fuzzy set operators, generalizations of the continuous KM algorithm, adaptiveness and novelty of interval type-2 fuzzy logic controllers, relations ...

A comparison of particle swarm optimization and genetic ...

Complex fuzzy set (CFS) is a recent development in the field of fuzzy set (FS) theory. The significance of CFS lies in the fact that CFS assigned membership grades from a unit circle in the complex plane, i.e., in the form of a complex number whose amplitude term belongs to a [ 0 , 1 ] interval. The interval-valued complex fuzzy set (IVCFS) is one of the extensions of the CFS in which the ...

A new approach for ranking of interval type-2 trapezoidal ...

Interval type-2 fuzzy logic controller IT2FLC method for controlling the speed with a direct stator flux orientation control of doubly fed induction motor DFIM is proposed. The fuzzy controllers have demonstrated their effectiveness in the control of nonlinear systems, and in many cases it is proved that their robustness and performance are ...

Fuzzy Sets and Systems - Journal - Elsevier

Abstract: This paper presents the stability analysis of interval type-2 fuzzy-model-based (FMB) control systems. To investigate the system stability, an interval type-2 Takagi-Sugeno (T-S) fuzzy model, which can be regarded as a collection of a number of type-1 T-S fuzzy models, is proposed to represent the nonlinear plant subject to parameter uncertainties.

Interval type-2 fuzzy servo controller for state feedback ...

RECENT ADVANCES in FUZZY SYSTEMS Proceedings of the 10th WSEAS International Conference on FUZZY SYSTEMS (FS'09) Prague, Czech Republic March 23-25, 2009 Artificial Intelligence Series A Series of Reference Books and Textbooks Published by WSEAS Press . ISSN: 1790-5109 . www.wseas.org . ISBN: 978-960-474-066-6

Realizing Interval Type-2 Fuzzy Systems with Type-1 Fuzzy ...

Recently, wind energy conversion systems in renewable energy sources have attracted attention due to their effective application. Wind turbine systems have a complex structure; however, traditional control systems are inadequate in answering the demands of complex systems. Therefore, expert control systems are applied to wind turbines, such as type-1 and interval type-2 fuzzy logic control (IT ...

Hybrid Passivity Based and Fuzzy Type-2 Controller for ...

Recent Advances in Interval Type-2 Fuzzy Systems (SpringerBriefs in Applied Sciences and Technology Book 1) Apr 23, 2012 by Oscar Castillo , Patricia Melin

Interval Type 2 Fuzzy Fireworks Algorithm for Clustering ...

[22] M. Biglarbegian, W. Melek, J. M. Mendel, “On the robustness of Type-1 and Interval Type-2 fuzzy logic systems in modeling,” in Information Sciences, vol. 181, issue: 7, pp. 1325-1347, April 2011. [23] O. Linda, M. Manic, “Self-Organizing Fuzzy Haptic Teleoperation of Mobile Robot Using Sparse Sonar Data,” in IEEE Trans. Industrial

IJCA - Fuzzy Mathematical Models of Type-1 and Type-2 for ...

5.2. Knowledge Representation of the Interval Type 2 Fuzzy System. The proposed interval type 2 fuzzy system (IT2FHS) is composed using terms of interval type 2 fuzzy sets, granulated into the three triangular MFS with uncertain a in the input and the output, and these triangular MFS are represented by

1 An Interval Type-2 Fuzzy Approach to Automatic PDF ...

Mustafa TINKER, ‘’ A new approach for interval type-2 by using adaptive-network-based fuzzy inference system’’, International Journal of the Physical Sciences Vol. 6(19), pp. 4502-4518, 16 September 2011.

SpringerBriefs in Applied Sciences and Technology: Recent ...

In Proceedings of the 2006 Joint Conference on Information Sciences, Advances in Intelligent Systems Research, Taiwan, ROC, 1309–1312. Hu , Q.-H. , Yu , D.-R. 2004 . Variable precision dominance based rough set model and reduction algorithm for preference-ordered data .

Nurnadiah Zamri - Google Scholar Citations

New citations to this author. New articles related to this author's research. Email address for updates. ... Advances in Fuzzy Systems 2014, 17, 2014. 11: ... Optimal adaptive interval type-2 fuzzy fractional-order backstepping sliding mode control method for some classes of nonlinear systems.

Satyam Paul - Lecturer - University of the West of England ...

In this paper, a direct adaptive interval type-2 fuzzy sliding mode control scheme is proposed for synchronizing two different chaotic systems. This method guarantees the global asymptotic stability synchronization of the two state trajectories using lyapunov stability criteria.


Recent Advances In Interval Type 2 Fuzzy Systems Springerbriefs In Applied Sciences And Technology



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Recent Advances In Interval Type 2 Fuzzy Systems Springerbriefs In Applied Sciences And Technology