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Granular algebra for modeling granular systems and granular computing
2009 8th IEEE International Conference on Cognitive Informatics, 2009Granular computing provides a new perspective on computing architectures and behaviors. This paper presents a recent development in denotational mathematics known as granular algebra, which enables a rigorous treatment of computing granules as a generic abstract mathematical structure and granular behaviors as a set of algebraic operations. An abstract
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Granular Computing and Computational Complexity
2010Granular computing is to imitate humans multigranular computing strategy to problem solving in order to endow computers with the same capability. Its final goal is to reduce the computational complexity. To the end, based on the simplicity principle the problem at hand should be represented as simpler as possible.
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Granular modelling of signals: A framework of Granular Computing
Information Sciences, 2013In spite of the evident diversity of models of signals and time series, there is still an urgent need to develop constructs that are both accurate and highly interpretable (human-centric). While a great deal of research has been devoted to the design of nonlinear models of time series (with anticipation of achieving high accuracy of prediction), an ...
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On modeling MapReduce with granular computing
2011 IEEE International Conference on Granular Computing, 2011Cloud computing focuses on supporting high scalable and high available parallel and distributed computing, based on the infrastructure built on top of large scale clusters which contain a large number of cheap PC servers, to process the huge amounts of data generated by Internet.
Bo Zhang, Zhongzhi Shi, Bo Zhang
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GUHA method and granular computing
2005 IEEE International Conference on Granular Computing, 2005GUHA method of exploratory data analysis is presented. GUHA offers all interesting facts following from the analysed data to the given problem. Its development started about 40 years ago. It is implemented in the form of GUHA-procedures. Implementation techniques called now granular computing are used. The software system LISp-Miner containing six GUHA
Jan Rauch, Milan Simunek
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2007
The current research in granular computing is dominated by set-theoretic models such as rough sets and fuzzy sets. By recasting the existing studies in a wider context, we propose a unified framework of granular computing. The new framework extends results obtained in the set-theoretic setting and extracts high-level common principles from a wide range
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The current research in granular computing is dominated by set-theoretic models such as rough sets and fuzzy sets. By recasting the existing studies in a wider context, we propose a unified framework of granular computing. The new framework extends results obtained in the set-theoretic setting and extracts high-level common principles from a wide range
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Granular and rough computing on covering
2012 IEEE International Conference on Granular Computing, 2012Covering-based rough set (CRS) is a meaningful and important generalization of Pawlak's rough set theory. The primary goal of this paper is to extend the formal study to partial covering (PCov) in terms of the global granular computing model (global/2nd GrC model).
Jun Xie +2 more
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Granular Computing and Human-Centricity in Computational Intelligence
9th IEEE International Conference on Cognitive Informatics (ICCI'10), 2010Information granules and ensuing Granular Computing offer interesting opportunities to endow processing with an important facet of human-centricity. This facet implies that the underlying processing supports non-numeric data inherently associated with the variable perception of humans. Systems that commonly become distributed and hierarchical, managing
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Machine Learning in Granular Computing
2009Main purpose of the Granular Computing (GrC) is to find a novel way to acquire knowledge for huge orderless very high dimensional perception information. Obviously, such kind Granular Computing (GrC) has close relationship with machine learning. In this paper, we try to study the machine learning under the point of view of Granular Computing (GrC ...
Hong Hu 0001, Zhongzhi Shi
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Perception Learning as Granular Computing
2008 Fourth International Conference on Natural Computation, 2008Zadeh proposed that there are three basic concepts that underlie human cognition: granulation, organization and causation and a granule being a clump of points (objects) drawn together by indistinguishability, similarity, proximity or functionality.
Hong Hu 0001, Zhongzhi Shi
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