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IEEE transactions on circuits and systems for video technology (Print), 2019
Steganography detection based on Rich Model features is a hot research direction in steganalysis. However, rich model features usually result a large computation cost.
Yuanyuan Ma +4 more
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Steganography detection based on Rich Model features is a hot research direction in steganalysis. However, rich model features usually result a large computation cost.
Yuanyuan Ma +4 more
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2015
This chapter reviews three formulations of rough set theory, i. e., element-based definition, granule-based definition, and subsystem-based definition. These formulations are adopted to generalize rough sets from three directions. The first direction is to use an arbitrary binary relation to generalize the equivalence relation in the element-based ...
Yao, J, CIUCCI, DAVIDE ELIO, Zhang, Y.
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This chapter reviews three formulations of rough set theory, i. e., element-based definition, granule-based definition, and subsystem-based definition. These formulations are adopted to generalize rough sets from three directions. The first direction is to use an arbitrary binary relation to generalize the equivalence relation in the element-based ...
Yao, J, CIUCCI, DAVIDE ELIO, Zhang, Y.
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Fuzzy Rough Set Based Feature Selection for Large-Scale Hierarchical Classification
IEEE transactions on fuzzy systems, 2019The classification of high-dimensional tasks remains a significant challenge for machine learning algorithms. Feature selection is considered to be an indispensable preprocessing step in high-dimensional data classification. In the era of big data, there
Hong Zhao +3 more
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International Journal of Computer & Information Sciences, 1982
Summary: We investigate in this paper approximate operations on sets, approximate equality of sets, and approximate inclusion of sets. The presented approach may be considered as an alternative to fuzzy set theory and tolerance theory. Some applications are outlined.
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Summary: We investigate in this paper approximate operations on sets, approximate equality of sets, and approximate inclusion of sets. The presented approach may be considered as an alternative to fuzzy set theory and tolerance theory. Some applications are outlined.
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An
The philosophy of soft sets is founded on the fundamental idea of parameterization, while Pawlak's rough sets put more emphasis on the importance of granulation. As a multivalued extension of soft sets, the newly emerging concept called $N$-soft sets can
J. Alcantud, F. Feng, R. Yager
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Novel concepts of soft rough set topology with applications
Journal of Intelligent & Fuzzy Systems, 2019Rough set theory initiated by Pawlak [16] and soft set theory initiated by Molodtsov [15] are strong mathematical tools for handling uncertain and vague information.
M. Riaz +3 more
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ROUGH SETS, ROUGH RELATIONS AND ROUGH FUNCTIONS
Fundamenta Informaticae, 1996The paper explores the concepts of approximate relations and functions in the framework of the theory of rough sets. The difficulties with the application of the idea of rough relation to general rough function definition are discussed. The definition of rough function for the domain of real numbers is introduced and its properties are investigated in ...
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Rough set theory applied to UP-algebras
Journal of Information and Optimization Sciences, 2019In this paper, rough set theory is applied to UP-algebras, proved some results and discussed the generalization of some notions of rough UP-subalgebras, rough UP-filters, rough UP-ideals and rough strongly UP-ideals.
Theeyarat Klinseesook +2 more
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Attribute Selection for Partially Labeled Categorical Data By Rough Set Approach
IEEE Transactions on Cybernetics, 2017Attribute selection is considered as the most characteristic result in rough set theory to distinguish itself to other theories. However, existing attribute selection approaches can not handle partially labeled data.
Jianhua Dai +4 more
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2005
Rough set theory is a new mathematical approach to imperfect knowledge. The problem of imperfect knowledge, tackled for a long time by philosophers, logicians, and mathematicians, has become also a crucial issue for computer scientists, particularly in the area of artificial intelligence.
Zdzislaw Pawlak +2 more
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Rough set theory is a new mathematical approach to imperfect knowledge. The problem of imperfect knowledge, tackled for a long time by philosophers, logicians, and mathematicians, has become also a crucial issue for computer scientists, particularly in the area of artificial intelligence.
Zdzislaw Pawlak +2 more
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