Assignment Reduction of Relation Decision Systems

被引：5
|
作者：
Liu, Guilong [1 ]
机构：
[1] Beijing Language & Culture Univ, Sch Informat Sci, Beijing 100083, Peoples R China
来源：
ROUGH SETS | 2017年 / 10313卷
基金：
中国国家自然科学基金;
关键词：
Assignment reduction; Discernibility matrix; Relation decision system; Relative set; Ordered decision system; ATTRIBUTE REDUCTION; ROUGH SET;
D O I：
10.1007/978-3-319-60837-2_32
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Assignment reduction is a special reduction type of attribute reduction. It is first studied in decision tables and the reduction approaches are then extended to ordered decision systems. This paper continues to consider such a reduction type in relation decision systems. We propose a new discernibility matrix. Based on the matrix, we give the corresponding reduction algorithm. As special case, we derive respectively the assignment reduction algorithms for decision tables and ordered decision systems.
引用
收藏
页码：384 / 391
页数：8
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