On the method of the attribute classification based on rough sets theory

被引：0

作者：

Jiuying, Deng ^{[1
]}

Ning, Xu ^{[1
]}

Zongyuan, Mao ^{[2
]}

机构：

[1] Guangdong Inst Educ, Dept Comp Sci, Guangzhou 510303, Guangdong, Peoples R China

[2] South China Univ Technol, Guangzhou 510641, Guangdong, Peoples R China

来源：

ICIEA 2006: 1ST IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-3, PROCEEDINGS | 2006年

关键词：

attribute classification; support subsets; decision rule; support degree; attributes reduct;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

According to Rough sets theory, analysis how the change of the condition attribute division infects the decision subset and decision rule support degree in the decision system. Summarize the method of selecting the best attribute classification, and provide the algorithm of the best attribute classification gotten.

引用

页码：628 / 631

页数：4

共 8 条

[1]

Bell DA, 1998, J AM SOC INFORM SCI, V49, P403, DOI 10.1002/(SICI)1097-4571(19980415)49:5<403::AID-ASI3>3.0.CO

[2]

2-8

[3] A rough set approach to attribute generalization in data mining [J].

Chan, CC .

INFORMATION SCIENCES, 1998, 107 (1-4) :169-176

[4]

Lingras PJ, 1998, J AM SOC INFORM SCI, V49, P415, DOI 10.1002/(SICI)1097-4571(19980415)49:5<415::AID-ASI4>3.0.CO

[5]

2-Z

[6] Rough set theory and its applications to data analysis [J].

Pawlak, Z .

CYBERNETICS AND SYSTEMS, 1998, 29 (07) :661-688

[7]

SLOWINSKI K, 1992, HDB APPL ADV ROUGH S, P77

[8]

Zhang WX, 2001, ROUGH SETS THEORY ME

← 1 →