信息向量的粗相似度与知识挖掘

信息向量的粗相似度与知识挖掘

郝秀梅¹^,³，杜英玲²，任雪芳³

1. 山东财政学院统计与数理学院, 山东济南 250014;2. 山东大学控制科学与工程学院, 山东济南 250061；3. 山东大学数学与系统科学学院, 山东济南 250100

收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2006-10-24 发布日期:2006-10-24
通讯作者: 郝秀梅

Rough similarity degree of an information vector and its knowledge mining

HAO Xiu-mei¹^,³， DU Ying-ling²， REN Xue-fang³

1. Department of Statistics and Mathematics, Shandong Finance Institute, Jinan 250014, Shandong;2. School of Control Science and Engineering, Shandong University, Jinan 250061;3. School of Mathematics and System Sciences, Shandong University, Jinan 250100

Received:1900-01-01 Revised:1900-01-01 Online:2006-10-24 Published:2006-10-24
Contact: HAO Xiu-mei

摘要/Abstract

摘要： 利用粗信息矩阵与相似度的概念,提出信息向量的粗相似度矩阵的概念,完整地讨论了粗相似度、粗相似度矩阵的性质,给出了粗相似度矩阵的生成特性及重要的定理。

关键词: 粗信息矩阵, 实对称矩阵 , (上、下)粗相似度矩阵, 粗相似度, (上、下)粗信息向量

Abstract: By using the concepts of rough information matrix and similarity degree, the concept of rough similarity degree of a rough information vector was proposed.The characteristics of a rough similarity degree and a rough similarity degree matrix were discussed, and the generation of a rough similarity degree matrix and important theorems were given.

Key words: real symmetric matrix , (upper and lower)rough similarity degree matrix, rough similarity degree, (upper and lower) rough information vector, rough information matrix

中图分类号:

O159

郝秀梅,杜英玲,任雪芳 . 信息向量的粗相似度与知识挖掘[J]. J4, 2008, 43(4): 14-16 .

HAO Xiu-mei,DU Ying-ling,REN Xue-fang . Rough similarity degree of an information vector and its knowledge mining[J]. J4, 2008, 43(4): 14-16 .

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[1]	郝秀梅, . S-粗信息矩阵与它的两类形式[J]. J4, 2008, 43(1): 91-94 .
[2]	郝秀梅,黄顺亮,史开泉 . 粗信息矩阵与它的特征[J]. J4, 2007, 42(7): 58-61 .
[3]	徐晓静,李健 . 静态粗相似度的特征[J]. J4, 2006, 41(6): 57-60 .