16,992 resources 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.
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.
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.
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 ...
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 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. ...
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, ...
Yang Yujiu; Yue Dong; Guo Xijin Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on, 2002
Using a guaranteed cost control approach, the problem of Takagi-Sugeno (T-S) fuzzy controller design via Linear Matrix Inequalities (LMIS) is presented in this paper. The feedback control law is obtained through solving LMIS. This method not only has guaranteed stability, but also minimizes an upper bound on a linear quadratic performance measure. The example for a fuzzy controller of the ...
Li Chengbiao Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on, 2009
With the increasingly fierce market competition, enterprises put more and more emphasis on R&D activities, and the ability of independent innovation becomes the core competitiveness of the enterprises. As the main part of technical innovation team, the R&D personal has become more and more highly valued by the entrepreneurs. This paper establishes a comprehensive evaluation framework of innovation performance based-on ...
Clymer, J.R. Simulation Conference Proceedings, 1993. Winter, 1993
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Gang Xie; Gaowei Yan; Hongwei Ma; Keming Xie Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on, 2002
A new intelligent control method is presented for a unit coordinated control system in this paper. By an analysis of the dynamic characteristic of the unit, the intelligent compound controller is proposed for the problems in the system, such as the responding rate being slower for the goal load and the overshoot higher. The new controller that is employed in ...
Mirzaei, A.; Moallem, M.; Mirzaeian, B. Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation, 2005
Anti-lock braking systems (ABS) have been developed to reduce tendency for wheel lock and improve vehicle control during sudden braking especially on slippery road surfaces. The objective of such control is to increase wheel tractive force in the desired direction while maintaining adequate vehicle stability and steerability and also reducing the vehicle stopping distance. In this paper, a genetic-fuzzy ABS ...
Mendel, Jerry Introduction to Type-2 Fuzzy Sets and Systems, 2008
This course will provide an introduction to and an overview of type-2 fuzzy sets (T2 FSs) and systems. It will locate type-2 fuzzy sets and systems in an educational taxonomy, so that the student will appreciate from the onset the importance of studying such fuzzy sets; explain what a T2 FS is, how it is different from a type-1 FS, ...
Pedrycz, Witold Methods & Models of Collaborative Computational Intelligence, 2009
There are rapidly emerging needs to deal with distributed sources of data (sensors and sensor networks, web sites, databases). While recognizing their limited accessibility at a global level (associated with technical constraints and/or privacy issues) and fully acknowledging benefits of collaborative processing, we propose a concept of Collaborative Computational Intelligence (CI), and collaborative fuzzy models, in particular. The variety of ...
Scotti, Fabio; Piuri, Vincenzo Implementations of Computational Intelligence Techniques, 2007
Computational Intelligence techniques are a powerful and adaptable approach to tackle problems and cases for which the conventional technologies have not been proved sufficiently effective. These results are achieved by mimicking some aspects of the knowledge representation and processing performed by the brain. The computational efforts implied by these approaches are usually quite relevant.
Scheirer, Walter; Boult, Terrance Biometrics: Privacy and Social Acceptance, 2010
This tutorial will cover the ethics, privacy and security of biometrics. The first part, will address the concept of identity and its ethical implications. The concept of personal identity is important from several perspectives. From a cultural perspective, the more the world converges, the more individual cultures wish to maintain their separate identities. From an individual perspective, the greater the ...
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