Set theory

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Set theory is the branch of mathematics that studies sets, which are collections of objects. (Wikipedia.org)






Conferences related to Set theory

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2013 12th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

Cognitive Informatics (CI) is a cutting-edge and multidisciplinary research field that tackles the fundamental problems shared by modern informatics, computing, AI, cybernetics, computational intelligence, cognitive science, intelligence science, neuropsychology, brain science, systems science, software engineering, knowledge engineering, cognitive robots, scientific philosophy, cognitive linguistics, life sciences, and cognitive computing.

  • 2012 11th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

    Cognitive informatics and Cognitive Computing are a transdisciplinary enquiry on the internal information processing mechanisms and processes of the brain and their engineering applications in cognitive computers, computational intelligence, cognitive robots, cognitive systems, and in the AI, IT, and software industries. The 11th IEEE Int l Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC 12) focuses on the theme of e-Brain and Cognitive Computers.

  • 2011 10th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

    Cognitive Informatics and Cognitive Computing are a transdisciplinary enquiry on the internal information processing mechanisms and processes of the brain and their engineering applications in cognitive computers, computational intelligence, cognitive robots, cognitive systems, and in the AI, IT, and software industries. The 10th IEEE Int l Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC 11) focuses on the theme of Cognitive Computers and the e-Brain.

  • 2010 9th IEEE International Conference on Cognitive Informatics (ICCI)

    Cognitive Informatics (CI) is a cutting-edge and transdisciplinary research area that tackles the fundamental problems shared by modern informatics, computing, AI, cybernetics, computational intelligence, cognitive science, neuropsychology, medical science, systems science, software engineering, telecommunications, knowledge engineering, philosophy, linguistics, economics, management science, and life sciences.

  • 2009 8th IEEE International Conference on Cognitive Informatics (ICCI)

    The 8th IEEE International Conference on Cognitive Informatics (ICCI 09) focuses on the theme of Cognitive Computing and Semantic Mining. The objectives of ICCI'09 are to draw attention of researchers, practitioners, and graduate students to the investigation of cognitive mechanisms and processes of human information processing, and to stimulate the international effort on cognitive informatics research and engineering applications.


2012 IEEE International Conference on Granular Computing (GrC-2012)

IEEE GrC 2012 will continue to address the issues related to Granular Computing and its applications. IEEE GrC 2012 will provide researchers from universities, laboratories and industry to present state-of-the-art research results and methodologies in theory and applications of granular computing. The conference will also make it possible for researchers and developers to highlight their new research directions and new interactions with novel computing models. To broaden more impact on granular computing and its applications, IEEE GrC 2012 will focus on currently important major research tracks such as soft computing (fuzzy, rough sets and etc), social network, cloud computing, e-intelligence (web intelligence, semantic web), bioinformatics and medical informatics.


2011 International Conference on Artificial Intelligence and Computational Intelligence (AICI)

AICI 11 aims to provide an international forum for researchers and practitioners to present and discuss the state of the art of Artiicial Intelligence and Computational Intelligence, including but not limited to, Expert System, Decision support systems, Fuzzy logic and soft computing, Heuristic searching methods, Knowledge representation, Natural Language Understanding, Machine Learning, Neural Network, Robotics, Pattern Recognition, Machine Vision, Intelligent Control, Intelligent Information Retrieval, Di

  • 2010 International Conference on Artificial Intelligence and Computational Intelligence (AICI)

    AICI 10 aims to provide an international forum for researchers and practitioners to present and discuss the state of the art of Artiicial Intelligence and Computational Intelligence, including but not limited to, Expert System, Decision support systems, Fuzzy logic and soft computing, Heuristic searching methods, Knowledge representation, Natural Language Understanding, Machine Learning, Neural Network, Robotics, Pattern Recognition, Machine Vision, Intelligent Control, Intelligent Information Retrieval, Di


2010 International Conference on Future Information Technology and Management Engineering (FITME)

FITME 2010 is a forum for presentation of new research results and demonstration of new systems and techniques in the broad field of information systems, information technology, information management, management engineering and their applications. The forum aims to bring together researchers, developers, and users from around the world in both industry and academia for sharing state-of-art results, for exploring new areas of research and development, and to discuss emerging issues facing business organizat



Periodicals related to Set theory

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Image Processing, IEEE Transactions on

Signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.




Xplore Articles related to Set theory

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Fuzzy Entropy-Based Rough Set Approach for Extracting Decision Rules

Tien-Chin Wang; Chen, L.Y.; Hsien-Da Lee Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on, 2007

Rule extraction is an important theme in data mining. Fuzzy set theory (FST) and Rough set theory (RST) are two common technologies frequently applied to data mining tasks. Decision induction is one of common approaches for extracting rules in data mining. Integrating the advantages of FST and RST, this paper proposes a hybrid system to efficiently extract decision rules from ...


General Model of Multiple Weights Fuzzy Appraisal System

Tien-Tsai Huang Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on, 2008

This paper considers the general model involving fuzzy appraisal system based on multiple weights. In evaluation problems, weight is the key factor that influences the final assessment results. Hence, how to find a more objective and realistic way to suit the different weigh system is an important topic. However, in tradition way, the vagueness of linguistic terms used by decision ...


The set theory of arithmetic decomposition

Carter, Tony M.; Robertson, J.E. Computers, IEEE Transactions on, 1990

The set theory of arithmetic decomposition is a method of designing complex addition/subtraction circuits at any radix using strictly positional, sign- local number systems. The specification of an addition circuit is simply an equation that describes the inputs and the outputs as weighted digit sets. Design is done by applying a set of rewrite rules known as decomposition operators to ...


Heterogeneous fuzzy logic networks: fundamentals and development studies

Pedrycz, W. Neural Networks, IEEE Transactions on, 2004

The recent trend in the development of neurofuzzy systems has profoundly emphasized the importance of synergy between the fundamentals of fuzzy sets and neural networks. The resulting frameworks of the neurofuzzy systems took advantage of an array of learning mechanisms primarily originating within the theory of neurocomputing and the use of fuzzy models (predominantly rule-based systems) being well established in ...


An Improved Extension of the D-S Evidence Theory to Fuzzy Sets

Miao, Y.Z.; Ma, X.P.; Zhang, H.X.; Zhang, J.W.; Zhao, Z.X. Computing in the Global Information Technology, 2008. ICCGI '08. The Third International Multi-Conference on, 2008

To analyze fuzzy data in uncertain evidential reasoning, some researchers have recently extended the D-S evidence theory to fuzzy sets. But there are some insufficiencies in the definition of the fuzzy belief function and the combination rule on fuzzy sets of the D-S evidence theory. This paper describes a new definition of the similarity degree between two fuzzy sets and ...


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