17,043 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, ...
McKenna, M.; Wilamowski, B.M. Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on, 2001
Fuzzy controllers are traditionally implemented in a microprocessor and they produce relatively raw surfaces. The purpose of this work is to implement a fuzzy control system in a FPGA and to have the resulted control surface as smooth as possible. The FPGA has allowed designers to create large designs, test them and make modifications very easily and quickly. This approach ...
Guanjun Zhang; Yasuoka, K.; Ishii, S.; Li Yang; Zhang Yan Dielectric Liquids, 1999. (ICDL '99) Proceedings of the 1999 IEEE 13th International Conference on, 1999
For power equipment, the relation between its faulty phenomena and the corresponding faulty reasons is somewhat fuzzy. By using the data of dissolved gas analysis (DGA), the fuzzy cluster analysis (FCA) technique was applied to identify the fault patterns of oil-immersed power transformers and to overcome the defects of conventional expert systems (ES). As a kind of typical FCA method, ...
Nhita, F.; Adiwijaya Information and Communication Technology (ICoICT), 2013 International Conference of, 2013
Weather forecasting information is very crucial in decision making process regarding to activities and works, such as in the field of agriculture to determine initial growing season. Recently, climate change causes trouble in weather forecasting. In this paper, rainfall forecasting system using fuzzy system based on genetic algorithm (GA) is made. The data used within this research is taken from ...
Wang Fang; Li Yanpeng; Li Xiang Information and Automation, 2008. ICIA 2008. International Conference on, 2008
In the recent years, as the development of automatic target recognition (ATR) technology, the performance evaluation for it becomes more and more important. In order to solve the problems of needing artificial intervene and needing too many samples in the existent evaluation methods, we proposed a new performance evaluation method for ATR system based on the backward cloud. In this ...
Nasiri, M.; Fober, T.; Senge, R.; Hullermeier, E. IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint, 2013
This paper advocates a novel approach to fuzzy systems modeling called fuzzy pattern trees. This approach is largely motivated by alleged disadvantages of rule-based system architectures that still dominate the field. Due to its hierarchical, modular structure and the use of different types of (nonlinear) aggregation operators, a fuzzy pattern tree has the ability to represent functional dependencies in a ...
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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