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区间值属性决策表的数据挖掘

Data Mining in Interval Valued Decision Table
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摘要 Data mining in incomplete information systems is a hard problem but inevitable in uncertain decision. In thispaper ,an extended rough set model based on dominance relation is combined with fuzzy set theory for data mining ininterval valued decision table ,then decision rules can be obtained from the decision table. Simulation results show thatthe method is effective. 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.
出处 《计算机科学》 CSCD 北大核心 2003年第8期121-123,共3页 Computer Science
基金 国家自然科学基金(69972036) 陕西省自然科学基金(2000SL03)
关键词 数据挖掘 区间值属性 决策表 数据库 数据分析 Rough set,Dominance relation,Interval number,Data mining
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