This paper discusses and proposes a rough set model for an incomplete information system, which defines an extended tolerance\r\nrelation using frequency of attribute values in such a system. It first discusses some rough set extensions in incomplete information\r\nsystems. Next, ââ?¬Å?probability of matchingââ?¬Â is defined from data in information systems and then measures the degree of tolerance.\r\nConsequently, a rough set model is developed using a tolerance relation defined with a threshold. The paper discusses the\r\nmathematical properties of the newly developed rough set model and also introduces a method to derive reducts and the core.
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