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Information granules and entropy theory in information systems
Science in China Series F: Information Sciences, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jiye Liang, Yuhua Qian
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Approximation of Information Granule Sets
2001The aim of the paper is to present basic notions related to granular computing, namely the information granule syntax and semantics as well as the inclusion and closeness (similarity) relations of granules. In particular, we discuss how to define approximation d complex granule sets using the above notions.
Andrzej Skowron +2 more
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Information Granules in Distributed Environment
1999We propose to use complex information granules to extract patterns from data in distributed environment. These patterns can be treated as a generalization of association rules.
Andrzej Skowron, Jaroslaw Stepaniuk
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Rough Sets and Information Granulation
2003In this paper, the study of the evolution of approximation space theory and its applications is considered in the context of rough sets introduced by Zdzislaw Pawlak and information granulation as well as computing with words formulated by Lotfi Zadeh. Central to this evolution is the rough-mereological approach to approximation of information granules.
James F. Peters +3 more
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Information granule decomposition.
Fundam. Informaticae, 2001Summary: Information sources provide us with granules of information that must be transformed, analyzed and built into structures that support problem solving. One of the main goals of information granule calculi is to develop algorithmic methods for construction of complex information granules from elementary ones by means of available operations and ...
Andrzej Skowron, Jaroslaw Stepaniuk
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Construction of Information Granules: From Data and Perceptions to Information Granules
2008We focus on the development of fuzzy sets by presenting various ways of designing fuzzy sets and determining their membership functions.
Bruno Apolloni +3 more
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Accelerating ReliefF using information granulation
International Journal of Machine Learning and Cybernetics, 2021Feature selection is an essential preprocessing requirement when solving a classification problem. In this respect, the Relief algorithm and its derivatives have been demonstrated to be a class of successful feature selectors. However, the computational cost of these algorithms is very high when large-scale datasets are processed. To solve this problem,
Wei Wei 0018, Da Wang, Jiye Liang
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Information Granules for Spatial Reasoning
2000The authors consider schemes of approximate reasoning approaches to transforming of information granules from different information sources. By tuning the parameters of schemes, the information granules representing patterns relevant to given tasks can be generated.
Andrzej Skowron +2 more
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The information granulation in discretization
Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693), 2004Discretization is a vehicle of abstraction that supports a conversion of clouds of numeric data into more tangible information granules, which can be represented as hyper-boxes in R". A partial ordering of all discretization schemes for a given information table is defined to describe the relative granularity. All discretized tables form a hierarchical
null Li-Hong Wang +3 more
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Tolerance Information Granules
2006In this paper we discuss tolerance information granule systems. We present examples of information granules and we consider two kinds of basic relations between them, namely inclusion and closeness. The relations between more complex information granules can be defined by extension of the relations defined on parts of information granules.
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