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随机信息系统中基于不可辨识矩阵的属性约简
引用本文:成蓉华,吴兆兵. 随机信息系统中基于不可辨识矩阵的属性约简[J]. 云南民族大学学报(自然科学版), 2007, 16(4): 324-326,340
作者姓名:成蓉华  吴兆兵
作者单位: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
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.

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
文章编号:1672-8513(2007)04-0324-03
收稿时间:2007-05-23
修稿时间:2007-05-23

Property Reduction Based on Indiscernibility Attribute Matrix
Cheng Ronghua,Wu Zhaobing. Property Reduction Based on Indiscernibility Attribute Matrix[J]. Journal of Yunnan Nationalities University:Natural Sciences Edition, 2007, 16(4): 324-326,340
Authors:Cheng Ronghua  Wu Zhaobing
Affiliation:1. Facuhy of Statistics and Mathermatics,Yurman University of Finance and Economics, Kunming 650221, China; 2. Cigarette Factory, Hongyun Group, Kunming 650202, China
Abstract: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.
Keywords:indiscernibility attribute matrix  discernibility attribute matrix  belief measure  approximation measure  mass function
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