摘要
对目前求不一致决策表最简规则方法存在的问题进行了分析,提出了一种构造区分矩阵的方法,能更好地适用于多决策属性存在的决策表中。借助区分矩阵进行值约简,提出了一种新的规则提取算法。利用属性的重要度来描述条件属性所提供的知识对决策表的影响程度,引入规则准确度来衡量算法是否造成决策表的新的不一致规则。该算法不会破坏决策系统中一致规则和不一致规则所蕴含的信息量,保持约简前后规则的准确度不变。
The problem of calculate the concise decision rules in the inconsistent tables is studied,the method of distinction matrix structure is proposed,which can be better applied to the decision table of many decision attributes exist simultaneously,with the help of distinction matrix to proceed value reduction,a new rule extraction algorithm is proposed.The attributes importance is used to describe the extent of the impact that the conditions attributes in the decision table provided by the knowledge.The rule of accuracy to measure the result of the decision table to creat the new rules are inconsistent.Case study to verify the algorithm will not undermine the system of consensus decision rules and regulations inconsistent with the amount of information behind,the reduction to maintain the accuracy of the same rules.The experimental results show that the algorithm is efficient and feasible.
出处
《计算机工程与设计》
CSCD
北大核心
2010年第4期836-839,共4页
Computer Engineering and Design
关键词
粗糙集
区分矩阵
值约简
规则准确度
属性重要度
rough set distinction matrix value reduction rule of accuracy attribute significance
