摘要
本文提出了一种两类决策系统的递增式粗集归纳方法 .首先利用基于粗集和用户要求的属性简化方法 ,对决策表进行属性简化 ;然后修改了决策矩阵和决策函数的定义 ,并采用基于修改后的决策矩阵和决策函数的方法从简化的决策表中归纳出决策规则 ;最后 ,一个例子验证了本文方法的有效性和实用性 .
We present an incremental rough set inductive lea rn ing approach to two classes of decision systems. Firstly, based on rough set and user-require, we also propose an algorithm of feature reduction to reduce the decision table, such that a reduced decision table is generated. Secondly, w e modifies definitions of decision matrix and decision function and a method bas ed on modified decision matrix and decision function is introduced to produce th e decision rules from the reduced decision table. Finally, An example is also il lustrated in the paper, and proves that the approach is very effective.
出处
《信息与控制》
CSCD
北大核心
2000年第6期521-525,共5页
Information and Control
关键词
粗集
决策表
决策矩阵
决策函数
归纳学习
决策规则
rough set
decision table
decision matrix
decision function
inductive learning
decision rule
