Variable precision rough set model
Journal of Computer and System Sciences
Rough set algorithms in classification problem
Rough set methods and applications
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
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Reducts are applied to represent the knowledge without superfluous attributes in rough set. In this paper, a two-phase β-certain reducts generation is developed to preserve the original classification of each decision class in the table under the majority inclusion relation with a user defined admissible error β. The first phase finds the initial solutions of β-certain reducts. Initial solutions are passed to the second phase and β-certain reducts are found by generating certain reducts of the second pseudo decision when all sub categories based on these certain reducts in the non-β-positive region are totally rejected under the β criterion. No verification is needed when β-certain reducts are found.