摘要
粗糙集理论是一种处理含糊和不精确性问题的新型数学工具,它是一种新型的数据挖掘和决策分析方法.通过条件属性对决策属性的依赖度和重要度分析,最终获取最小决策规则,并在医疗诊断系统中尝试.最后实践表明,这种方法在医疗决策系统中进行属性的约简是可行的.
Rough set theory is a new mathematical tool which can deal with vague and inaccurate problems. It is also a new data mining and decision analysis method. The minimal decision-making rules are obtained by analyzing dependence and significance of the condition attribute for decision attribute. Furthermore,the proposed method is applied to medical diagnostic system. Finally, practice shows that such an approach in medical decision-making system for attribute reduction is feasible.
出处
《甘肃联合大学学报(自然科学版)》
2008年第6期77-79,112,共4页
Journal of Gansu Lianhe University :Natural Sciences
关键词
粗糙集
决策表
医疗诊断系统
rough set
decision table
medical diagnostic system