Conferences related to Fuzzy systems

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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.


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Periodicals related to Fuzzy systems

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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

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Xplore Articles related to Fuzzy systems

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Inducing Comprehensibility In Evolutionary Polynomial-Fuzzy Classification Models

Ernest M. Mugambi; Andrew Hunter 2006 International Symposium on Evolving Fuzzy Systems, 2006

Comprehensibility is an important factor in medical predictive modelling as it dictates the credibility and even acceptability of a model. Generally, the performance of a model has always been the primary focus in most data mining jobs. Where there are serious risks posed by the decisions made by a model, it is not feasible to view comprehensibility aspects of a ...


Nonlinear combined forecasting method based on fuzzy adaptive variable weight

Qiao-lin Ding; Xue-hua Pan; Jian-xin Liu 2008 China International Conference on Electricity Distribution, 2008

Different forecasting methods can lead to very different results in power system load forecast, in order to improve forecasting accuracy, a nonlinear combined forecasting method based on fuzzy adaptive variable weight is introduced. Not only the nonlinearity of electric load forecasting is considered, but also the advantage of variable weight combined forecasting is also utilized. The determination of fuzzy weight ...


Robust fuzzy control with sliding mode property and inherent boundary layer

H. Allamehzadeh; J. Y. Cheung American Control Conference, 2003. Proceedings of the 2003, 2003

A new sliding mode fuzzy controller (SMFC) with smooth control law is proposed for a class of nonlinear system with a known linear model. The concept of variable structure system with sliding mode is employed to derive a set of rules for a robust fuzzy controller. The proposed controller preserves the most fundamental property of conventional sliding mode control (SMC) ...


Neuro-Fuzzy Ensemble Approach for Microarray Cancer Gene Expression Data Analysis

Zhenyu Wang; Vasile Palade; Yong Xu 2006 International Symposium on Evolving Fuzzy Systems, 2006

A neuro-fuzzy ensemble model (NFE) is proposed in this paper for analysing the gene expression data from microarray experiments. The proposed approach was tested on three benchmark cancer gene expression data sets. Experimental results show that our NFE model can be used as an efficient computational tool for microarray data analysis. In addition, compared to some most widely used approaches, ...


Fuzzy inference and beam search based scheduling

H. M. Shih Industrial Technology, 1994., Proceedings of the IEEE International Conference on, 1994

This paper presents a beam search based FMS scheduling, where the evaluation function is dynamically selected throughout the scheduling period by utilizing a fuzzy inference based procedure. The tackled production system is characterized by: multiproduct, jobs demanding multiple operations within the FMS, flexible routing with different process times in alternative machines and dynamic scheduling. A simple fuzzy inference rule base ...


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Educational Resources on Fuzzy systems

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eLearning

Inducing Comprehensibility In Evolutionary Polynomial-Fuzzy Classification Models

Ernest M. Mugambi; Andrew Hunter 2006 International Symposium on Evolving Fuzzy Systems, 2006

Comprehensibility is an important factor in medical predictive modelling as it dictates the credibility and even acceptability of a model. Generally, the performance of a model has always been the primary focus in most data mining jobs. Where there are serious risks posed by the decisions made by a model, it is not feasible to view comprehensibility aspects of a ...


Nonlinear combined forecasting method based on fuzzy adaptive variable weight

Qiao-lin Ding; Xue-hua Pan; Jian-xin Liu 2008 China International Conference on Electricity Distribution, 2008

Different forecasting methods can lead to very different results in power system load forecast, in order to improve forecasting accuracy, a nonlinear combined forecasting method based on fuzzy adaptive variable weight is introduced. Not only the nonlinearity of electric load forecasting is considered, but also the advantage of variable weight combined forecasting is also utilized. The determination of fuzzy weight ...


Robust fuzzy control with sliding mode property and inherent boundary layer

H. Allamehzadeh; J. Y. Cheung American Control Conference, 2003. Proceedings of the 2003, 2003

A new sliding mode fuzzy controller (SMFC) with smooth control law is proposed for a class of nonlinear system with a known linear model. The concept of variable structure system with sliding mode is employed to derive a set of rules for a robust fuzzy controller. The proposed controller preserves the most fundamental property of conventional sliding mode control (SMC) ...


Neuro-Fuzzy Ensemble Approach for Microarray Cancer Gene Expression Data Analysis

Zhenyu Wang; Vasile Palade; Yong Xu 2006 International Symposium on Evolving Fuzzy Systems, 2006

A neuro-fuzzy ensemble model (NFE) is proposed in this paper for analysing the gene expression data from microarray experiments. The proposed approach was tested on three benchmark cancer gene expression data sets. Experimental results show that our NFE model can be used as an efficient computational tool for microarray data analysis. In addition, compared to some most widely used approaches, ...


Fuzzy inference and beam search based scheduling

H. M. Shih Industrial Technology, 1994., Proceedings of the IEEE International Conference on, 1994

This paper presents a beam search based FMS scheduling, where the evaluation function is dynamically selected throughout the scheduling period by utilizing a fuzzy inference based procedure. The tackled production system is characterized by: multiproduct, jobs demanding multiple operations within the FMS, flexible routing with different process times in alternative machines and dynamic scheduling. A simple fuzzy inference rule base ...


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