随机信息系统中基于不可辨识矩阵的属性约简  

Property Reduction Based on Indiscernibility Attribute Matrix

作　　者：成蓉华[1] 吴兆兵 

机构地区：[1]云南财经大学统计与数学学院,云南昆明650221 [2]红云集团昆明卷烟厂,云南昆明650202

出　　处：《云南民族大学学报（自然科学版）》2007年第4期324-326,340,共4页Journal of Yunnan Minzu University:Natural Sciences Edition

摘　　要：在随机信息系统中,根据不可辨识关系,提出了不可辨识属性矩阵的概念,证明了不可辨识属性矩阵与可辨识属性矩阵的关系,最后提出了一种基于不可辨识属性矩阵约简算法.实例研究表明,相对于可辨识属性矩阵算法,该算法在时间和存储空间上都有较大的改善和提高.In random information systems, based on the indiscernibility relation, the concept of indiscernibility attribute matrix is proposed and the relationship between discernibility attribute matrix and indiscernibility attribute matrix is shown. Then a reduction algorithm based on indiscernibility attribute matrix is introduced. Compared with discernibility attribute matrix algorithm, from the example, this algorithm greatly reduces running time and memory space.

关 键 词：不可辨识属性矩阵 可辨识属性矩阵 信任测度 似然测度 MASS函数 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]