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Decision-theoretic rough set is a special rough set approach, which includes both misclassification and delayed decision costs. Though the property of monotonicity does not always hold in decision-theoretic rough set, the decision-monotonicity reduct may help us to increase both lower approximation and upper approximation. The experimental results in this paper tell us that by comparing with the original decision system, more cost is required with decision-monotonicity reduct. The implied philosophy is: if you want to get more, you should pay more!