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Data reduct based on rough sets theory was an effective feature selection method，however，classic rough sets theory’cannot deal with hybrid data and Can’t applied to online systems to0.So the rough sets model based on fuzzy equation relation was presented to reduct the hybrid systems.The entopy Was used to measure the discernibility power of the information.The definition of relative reduct Was improved，and the notion of sequential reduct Was proposed to deal with real online systems.A complete algorithm Was proposed and applied tO several UCI data.Experiments show that sequential reduct algorithm is an effective feature selection method for real online systems.