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In the theory of the concept lattices, the structure of a concept lattice is the base of data analysis and is very important. This paper mainly constructs two kinds of new concept lattices using the approximation operators “ □” and “◊” respectively. And also studies the relations among new concept lattices, object-oriented concept lattice, property-oriented concept lattice and complementary concept...
In this paper, a random rough subspace based neural network ensemble method is proposed for insurance fraud detection. In this method, rough set reduction is firstly employed to generate a set of reductions which can keep the consistency of data information. Secondly, the reductions are randomly selected to construct a subset of reductions. Thirdly, each of the selected reductions is used to train...
Inspired by the theory of rough sets, this paper studies formal contexts from the viewpoint of approaximation operators. Firstly, a pair of approaximation operators are proposed based on a formal context, and the corresponding concept latices are constructed. Then, the relationship among these two lattices and the original concept lattice, the concept lattice of the complement of the original formal...
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