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Discretization of continuous-valued attributes is always one of the key problems in rough sets theory, a multiscale rough set model (MRSM) is developed that describes the discretization at multiple scales and analyzes the relation of classifications and certainty between scales. In view of the model's efficiency and effectiveness. an optimal scale can be acquired with self-organization, self-study...
In order to make the design plan better reflecting the user requirement, and change the design manner from experience-driven to performance-driven design of the hydraulic press, a method of calculating the correlation between the user requirement and hydraulic press performance is proposed;Map between them is established by use of rough set theory. The result shows that this method can reflect the...
Attribute reduction is one of the key problems in Rough Set theory, and many algorithms have been proposed for static data. Very little work has been done in incremental attribute reduction algorithm. In this paper, an incremental attribute reduction algorithm is present. In order to reduce the computational complexity, a fast counting sort algorithm is introduced for dealing with redundant and inconsistent...
In this article, a new method for lower approximation reduction is introduced in inconsistent ordered information systems (IOIS). The dominance matrix and lower approximation decision matrix are proposed in information systems based on dominance relations. Furthermore, the algorithm of lower approximation reduction is obtained, from which we can provide approach to lower approximation reduction operated...
In an ordered decision information system, dominance-based rough set approach (DRSA) were used to compute reducts of the system which preserve the lower and upper approximations of upward union and downward union of decision classes. Recently, class-based reducts (L-reduct and U-reduct) which preserve respectively lower and upper approximates of each decision classes was proposed. In this paper, we...
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