摘要
首先从差别矩阵的角度 ,对决策表中属性的重要性给出度量 ,并提出了部分差别矩阵的概念 .在此基础上提出了一种基于部分差别矩阵的知识相对约简的启发式算法 ,并通过实例分析表明 ,在多数情况下该算法能够得到决策表的最小约简 .
The significance of attributes in decision table is defined from the viewpoint of discernibility matrix and the concept of partial discernibility matrix is given and based on which a heuristic algorithm for reduction of knowledge is proposed. Experimental results show that this algorithm can find the minimal reduction for most decision tables.
出处
《福州大学学报（自然科学版）》
CAS
CSCD
2000年第3期120-123,共4页
Journal of Fuzhou University(Natural Science Edition)
基金
福建省科技三项项目!(K990 39)
