Data Mining in Interval Valued Decision Table
区间值属性决策表的数据挖掘

Data mining in incomplete information systems is a hard problem but inevitable in uncertain decision. In this paper.an extended rough set model based on dominance relation is combined with fuzzy set theory for data mining in interval valued decision table,then decision rules can be obtained from the decision table. Simulation results show that the method is effective.