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)