区间值属性决策表的数据挖掘  

Data Mining in Interval Valued Decision Table

作　　者：王珏[1] 刘三阳[1] 张杰[1] 

机构地区：[1]西安电子科技大学理学院,西安710071

出　　处：《计算机科学》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)

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.

关 键 词：数据挖掘 区间值属性 决策表 数据库 数据分析 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]