Conferences related to Fuzzy systems

Back to Top

2014 IEEE Congress on Evolutionary Computation (CEC)

IEEE Congress on Evolutionary Computation is the largest technical event in the field of evolutionary computation. In 2014, International Joint Conference on Neural Networks will be part of the 2104 IEEE World Congress on Computational Intelligence.

  • 2013 IEEE Congress on Evolutionary Computation (CEC)

    CEC 2013 will bring together researchers and practitioners in the field of evolutionary computation and computational intelligence from around the globe. Theory, applications, algorithmic developments and all other aspects of evolutionary computation and related areas (i.e., any other bio-inspired metaheuristics) are welcome to contribute to this conference.

  • 2012 IEEE Congress on Evolutionary Computation (CEC)

    The annual IEEE CEC is one of the leading events in the field of evolutionary computation.

  • 2011 IEEE Congress on Evolutionary Computation (CEC)

    Annual Congress on Evolutionary Computation.

  • 2010 IEEE Congress on Evolutionary Computation (CEC)

  • 2009 IEEE Congress on Evolutionary Computation (CEC)

    CEC 2009 will feature a world-class conference that aims to bring together researchers and practitioners in the field of evolutionary computation and computational intelligence from all around the globe. Technical exchanges within the research community will encompass keynote speeches, special sessions, tutorials, panel discussions as well as poster presentations.

  • 2008 IEEE Congress on Evolutionary Computation (CEC)

    Composed of the International Joint Conference on Neural Networks (IJCNN), IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) and IEEE Congress on Evolutionary Computation (CEC), WCCI 2008 will be the largest technical event on computational intelligence in the world


2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

IEEE International Conference on Fuzzy Systems is the largest technical event in the field of fuzzy systems. In 2014, International Joint Conference on Neural Networks will be part of the 2104 IEEE World Congress on Computational Intelligence.


2014 IEEE International Conference on Systems, Man and Cybernetics - SMC

SMC2014 targets advances in Systems Science and Engineering, Human-Machine Systems, and Cybernetics involving state-of-art technologies interacting with humans to provide an enriching experience and thereby improving the quality of lives including theories, methodologies, and emerging applications.


2014 IEEE World Congress on Computational Intelligence (WCCI)

IEEE World Congress on Computational Intelligence (IEEE WCCI) is the largest technical event in the field of computational intelligence. IEEE WCCI 2014 will host three conferences: The 2014 International Joint Conference on Neural Networks, the 2014 IEEE International Conference on Fuzzy Systems, and the 2014 IEEE Congress on Evolutionary Computation.

  • 2012 IEEE World Congress on Computational Intelligence (WCCI)

    Computational Intelligence, Evolutionary Computation, Neural Networks, Fuzzy Systems, Swarm Intelligence, Nature Inspired Computing

  • 2010 IEEE World Congress on Computational Intelligence (WCCI)

    The WCCI is the best-known academic Olympic event in the computational intelligence community. Comprised of three international events, the International Joint Conference on Neural Networks (IJCNN), the IEEE International Conference on C (FUZZ-IEEE), and the IEEE Congress on Evolutionary Computation (CEC), WCCI provides a venue to foster technical exchange, renew friendships, and establish new connections


2013 IEEE 10th International Conference on Networking, Sensing and Control (ICNSC)

The main theme of the conference is Technology for efficient green networks . It will provide a remarkable opportunity for the academic and industrial communities to address new challenges and share solutions, and discuss future research directions.

  • 2012 9th IEEE International Conference on Networking, Sensing and Control (ICNSC)

    This conference will provide a remarkable opportunity for the academic and industrial community to address new challenges and share solutions, and discuss future research directions in the area of intelligent transportation systems and networks as well other areas of networking, sensing and control. It will feature plenary speeches, industrial panel sessions, funding agency panel sessions, interactive sessions, and invited/special sessions. Contributions are expected from academia, industry, and government agencies.

  • 2011 IEEE International Conference on Networking, Sensing and Control (ICNSC)

    The main theme of the conference is Next Generation Infrastructures . Infrastructures are the backbone of the economy and society. Especially the network bound infrastructures operated by public utilities and network industries provide essential services that are enabling for almost every economic and social activity. The crucial role of the infrastructure networks for energy and water supply, transportation of people and goods, and provision of telecommunication and information services.

  • 2010 International Conference on Networking, Sensing and Control (ICNSC)

    Provide a remarkable opportunity for the academic and industrial community to address new challenges and share solutions, and discuss future research directions.


More Conferences

Periodicals related to Fuzzy systems

Back to Top

Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Fuzzy Systems, IEEE Transactions on

Theory and application of fuzzy systems with emphasis on engineering systems and scientific applications. (6) (IEEE Guide for Authors) Representative applications areas include:fuzzy estimation, prediction and control; approximate reasoning; intelligent systems design; machine learning; image processing and machine vision;pattern recognition, fuzzy neurocomputing; electronic and photonic implementation; medical computing applications; robotics and motion control; constraint propagation and optimization; civil, chemical and ...


Systems, Man and Cybernetics, Part A, IEEE Transactions on

Systems engineering, including efforts that involve issue formnaulations, issue analysis and modeling, and decision making and issue interpretation at any of the life-cycle phases associated with the definition, development, and implementation of large systems. It will also include efforts that relate to systems management, systems engineering processes and a variety of systems engineering methods such as optimization, modeling and simulation. ...


Systems, Man, and Cybernetics, Part B, IEEE Transactions on

The scope of the IEEE Transactions on Systems, Man and Cybernetics Part B: Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or between machines, humans, and organizations. The scope of Part B includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, ...



Most published Xplore authors for Fuzzy systems

Back to Top

Xplore Articles related to Fuzzy systems

Back to Top

Research on Health Diagnosis Method Based on Fuzzy Sets and Information Fusion

Xin Wang; Qing-lin Ma 2009 International Conference on Artificial Intelligence and Computational Intelligence, 2009

This paper presents a new online health diagnosis method of the mine hoister based on the multi-sensor information fusion and fuzzy sets. A calculating method of the mass function for this system based on the fuzzy set was given. The correlation coefficients are replaced by the membership function using the fuzzy theory. The mass functions are obtained according to the ...


Fuzzy logic controlled particle swarm for reactive power optimization considering voltage stability

W. Zhang; Y. Liu 2005 International Power Engineering Conference, 2005

This paper presents the application of a fuzzy logic controlled particle swarm optimization (FLCPSO) to reactive power and voltage control (Volt/VAR control or VVC) considering voltage stability. An improved particle swarm optimization with three fuzzy controllers based on some heuristics is proposed to adaptively adjust the parameters of PSO, such as the inertia weight and learning factors, during the optimization ...


Authors' reply

Ji-Chang Lo; Yu-Min Chen IEEE Transactions on Fuzzy Systems, 2000

First Page of the Article ![](/xploreAssets/images/absImages/00855923.png)


Development of INPLANS: An analysis on Students’ Performance Using Neuro-Fuzzy

Khalid Isa; Shamsul Mohamad; Zarina Tukiran 2008 International Symposium on Information Technology, 2008

This paper presents a simulation of Neuro-Fuzzy application for analysing studentspsila performance based on their CPA and GPA. The analysis is an extension of our previous study, which was called an analysis on studentpsilas performance using fuzzy systems. The main function of this analysis is to support the development of intelligent planning system (INPLANS) using fuzzy systems, neural networks, and ...


Approximate Solution of Fuzzy Sylvester Matrix Equations

Xiao-Bin Guo 2011 Seventh International Conference on Computational Intelligence and Security, 2011

In paper the fuzzy matrix equation AX̃+X̃B=C̃ is investigated. The fuzzy matrix equation is converted to a fuzzy linear system. Then the fuzzy linear system is extended into a crisp system of linear equations. The fuzzy approximate solution of the original fuzzy systems is derived from solving the crisp function linear equations. An example is given to illustrate the proposed ...


More Xplore Articles

Educational Resources on Fuzzy systems

Back to Top

eLearning

Research on Health Diagnosis Method Based on Fuzzy Sets and Information Fusion

Xin Wang; Qing-lin Ma 2009 International Conference on Artificial Intelligence and Computational Intelligence, 2009

This paper presents a new online health diagnosis method of the mine hoister based on the multi-sensor information fusion and fuzzy sets. A calculating method of the mass function for this system based on the fuzzy set was given. The correlation coefficients are replaced by the membership function using the fuzzy theory. The mass functions are obtained according to the ...


Fuzzy logic controlled particle swarm for reactive power optimization considering voltage stability

W. Zhang; Y. Liu 2005 International Power Engineering Conference, 2005

This paper presents the application of a fuzzy logic controlled particle swarm optimization (FLCPSO) to reactive power and voltage control (Volt/VAR control or VVC) considering voltage stability. An improved particle swarm optimization with three fuzzy controllers based on some heuristics is proposed to adaptively adjust the parameters of PSO, such as the inertia weight and learning factors, during the optimization ...


Authors' reply

Ji-Chang Lo; Yu-Min Chen IEEE Transactions on Fuzzy Systems, 2000

First Page of the Article ![](/xploreAssets/images/absImages/00855923.png)


Development of INPLANS: An analysis on Students’ Performance Using Neuro-Fuzzy

Khalid Isa; Shamsul Mohamad; Zarina Tukiran 2008 International Symposium on Information Technology, 2008

This paper presents a simulation of Neuro-Fuzzy application for analysing studentspsila performance based on their CPA and GPA. The analysis is an extension of our previous study, which was called an analysis on studentpsilas performance using fuzzy systems. The main function of this analysis is to support the development of intelligent planning system (INPLANS) using fuzzy systems, neural networks, and ...


Approximate Solution of Fuzzy Sylvester Matrix Equations

Xiao-Bin Guo 2011 Seventh International Conference on Computational Intelligence and Security, 2011

In paper the fuzzy matrix equation AX̃+X̃B=C̃ is investigated. The fuzzy matrix equation is converted to a fuzzy linear system. Then the fuzzy linear system is extended into a crisp system of linear equations. The fuzzy approximate solution of the original fuzzy systems is derived from solving the crisp function linear equations. An example is given to illustrate the proposed ...


More eLearning Resources

IEEE-USA E-Books

  • Frontmatter

    The prelims comprise: Half Title Copyright Title IEEE Press Board Page Books in the IEEE Power Engineering Series Dedication Contents List of Contributors Preface Acknowledgments

  • Introduction

    This chapter contains sections titled: Fuzzy Sets Fuzzy Systems, Complexity, and Ambiguity Fuzziness and Probability When is a Fuzzy Formulation Appropriate? Applications of Fuzzy Systems Beyond Fuzzy Systems: Soft Computing and Computational Intelligence Fuzzy Theory in Electric Power Systems Some Areas of Fuzzy Applications in Power Systems Outline of the Book This chapter contains sections titled: References

  • Fuzzy Systems: An Engineering Point of View

    This chapter contains sections titled: Chapter Overview Fuzzy Sets and Membership Set-Theoretic and Algebraic Operations for Fuzzy Sets Aggregation Extension Principle and its Applications Fuzzy Relations This chapter contains sections titled: References

  • Fuzzy Information Approaches to Equipment Condition Monitoring and Diagnosis

    This chapter contains sections titled: Introduction Expert Systems and Equipment Diagnostics The Fuzzy Information Approach An Extended Example A Proposed Implementation Evaluation, Learning, and Information Measures Performance Summary and Discussion This chapter contains sections titled: Acknowledgments References

  • Detection and Localization of Shorted Turns in the DC Field Winding of TurbineGenerator Rotors Using Novelty Detection and Fuzzified Neural Networks

    This chapter contains sections titled: Introduction Existing Methods of Detection Location of Shorted Windings in Standstill Rotors Results Detection of Shorted Turns in Operational Generators Hardware for Signature Measurement Detection of Shorted Windings Novelty Detection Computation of Detection Threshold Results Conclusion This chapter contains sections titled: References

  • Mamdani Fuzzy Systems

    This chapter contains sections titled: If-Then Rules and Rule Base Fuzzy Systems Fuzzification Inference Defuzzification Example: Fuzzy System for Wind Chill Summary Exercises

  • Fuzzy Logic Controller as a Power System Stabilizer

    This chapter contains sections titled: Introduction FLC Structure FLC Design Fuzzy Rules FLC Parameter Tuning Automatic Rule Generation Fuzzy-Logic-Based Power System Stabilizer FLC Application to a Multimachine Power System Implementation and Experimental Studies Concluding Remarks This chapter contains sections titled: References

  • Fuzzy Logic Power System Stabilizer Using Polar Information

    This chapter contains sections titled: Introduction Advanced Fuzzy Logic Power System Stabilizer Using Three-Dimensional Polar Information [14] Simulation Studies Using One-Machine Infinite-Bus System [12, 14] Evaluation on Analog Network Simulator Actual Installation on Hydrounits Conclusion This chapter contains sections titled: References

  • Fuzzy Logic Switching of FACTS Devices

    This chapter contains sections titled: Introduction Fuzzy Logic Switching Control Scheme [10, 16-19] Evaluation of Control Scheme Multimachine Study System [14] Simulation Studies Conclusions This chapter contains sections titled: References

  • Takagi-Sugeno Fuzzy Systems

    This chapter contains sections titled: Takagi-Sugeno Fuzzy Systems as Interpolators between Memoryless Functions Takagi-Sugeno Fuzzy Systems as Interpolators between Continuous-Time Linear State-Space Dynamic Systems Takagi-Sugeno Fuzzy Systems as Interpolators between Discrete-Time Linear State-Space Dynamic Systems Takagi-Sugeno Fuzzy Systems as Interpolators between Discrete-Time Dynamic Systems described by Input-Output Difference Equations Summary Exercises



Standards related to Fuzzy systems

Back to Top

No standards are currently tagged "Fuzzy systems"


Jobs related to Fuzzy systems

Back to Top