Abstract
In incomplete information system, if the two objects have the same few known attributes and more unknown attributes, both the variable precision rough set model without symmetry and the limited, variable precision rough set model with symmetry can not distinguish them. In order to solve this problem, this paper proposes an improved limited and variable precision rough set model. It uses a more stringent condition to separate the two small probability equivalent objects into the different classes. The study of practical cases shows the model can get accurate and reasonable results.
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