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Concept lattices in rough set theory
IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04., 2004An alternative formulation of rough set theory can be developed based on a binary relation between two universes, one is a finite set of objects and the other is a finite set of properties. Rough set approximation operators are defined with respect to the binary relation. Three concept lattices are constructed based on approximation operators. They are
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On Generalizing Rough Set Theory
2007This paper summarizes various formulations of the standard rough set theory. It demonstrates how those formulations can be adopted to develop different generalized rough set theories. The relationships between rough set theory and other theories are discussed.
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Object Reduction in Rough Set Theory
2019This chapter deals with object reduction in rough set theory. We introduce a concept of object reduction that reduces the number of objects as long as possible with keeping the results of attribute reduction in the original decision table.
Seiki Akama, Yasuo Kudo, Tetsuya Murai
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Multi-source information fusion based on rough set theory: A review
Information Fusion, 2021Pengfei Zhang, Hongmei Chen, Junbo Zhang
exaly
Rough Set Theory of Shape Perception
2007Humans can easily recognize complex objects even if values of their attributes are imprecise and often inconsistent. It is not clear how the brain processes uncertain visual information. We have tested electrophysiological activity of the visual cortex (area V4), which is responsible for shape classifications.
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Information fusion in rough set theory : An overview
Information Fusion, 2019Wei Wei, JiYe Liang
exaly