Results 241 to 250 of about 67,600 (304)

STABILITY OF INFORMATION GRANULATION AND INFORMATION GRANULES

International Journal of Computational Intelligence and Applications, 2002
In this study, we introduce a notion of stability of information granules. Granulation of information results in a series of chunks of information usually referred to as information granules. Information granules are basic building entities involved in the formation of a broad class of systems.
Witold Pedrycz, George Vukovich
openaire   +1 more source

Interpolating Support Information Granules

Neurocomputing, 2006
We develop a hybrid strategy combing thruth-functionality, kernel, support vectors and regression to construct highly informative regression curves. The idea is to use statistical methods to form a confidence region for the line and then exploit the structure of the sample data falling in this region for identifying the most fitting curve.
B. Apolloni, S. Bassis, D. Malchiodi, W. Pedrycz   +3 more
openaire   +1 more source

Information granulation: percepts and their stability

Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063), 2002
Introduces a notion of relevance (conceptual stability) of information granules. Granulation of data results in a series of chunks of information usually referred to as information granules. These information granules are basic building entities involved in the design of a broad class of systems.
Witold Pedrycz, Michael H. Smith
openaire   +1 more source

Abstraction and specialization of information granules

IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2001
In his paper, we introduce a model of generalization and specialization of information granules. The information granules themselves are modeled as fuzzy sets or fuzzy relations. The generalization is realized by or-ing fuzzy sets while the specialization is completed through logic and operation.
Witold Pedrycz, George Vukovich
openaire   +2 more sources

Approximation Spaces and Information Granulation

2004
In this paper, we discuss approximation spaces in a granular computing framework. Such approximation spaces generalise the approaches to concept approximation existing in rough set theory. Approximation spaces are constructed as higher level information granules and are obtained as the result of complex modelling.
Andrzej Skowron, Roman W. Swiniarski, Piotr Synak   +2 more
openaire   +1 more source

Information granules and entropy theory in information systems

Science in China Series F: Information Sciences, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jiye Liang, Yuhua Qian
openaire   +1 more source

Approximation of Information Granule Sets

2001
The 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, Jaroslaw Stepaniuk, James F. Peters   +2 more
openaire   +1 more source

Information Granules in Distributed Environment

1999
We 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
openaire   +1 more source

Accelerating ReliefF using information granulation

International Journal of Machine Learning and Cybernetics, 2021
Feature 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
openaire   +1 more source