Evaluation method for decision rule sets

被引：0

作者：

Qian, Yuhua ^{[1
]}

Liang, Jiye ^{[1
]}

机构：

[1] Shanx Univ, Sch Comp & Informat Technol, Minist Educ Res, Key Lab Computat Intelligence & Chinese Informat, Taiyuan 030006, Peoples R China

来源：

ROUGH SETS, FUZZY SETS, DATA MINING AND GRANULAR COMPUTING, PROCEEDINGS | 2007年 / 4482卷

基金：

中国国家自然科学基金;

关键词：

rough set theory; decision table; decision rule; knowledge granulation; decision evaluation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a decision table in rough set theory is classified into three types according to its consistency. Three parameters a (whole certainty measure), beta (whole consistency measure) and gamma (whole support measure) are introduced to evaluate the performance of a decision rule set induced from a decision table. For three types of decision tables, the dependency of the parameters upon condition/decision granulation is analyzed. The parameters can be used to construct an evaluation function in favor of selecting a better one from some different rule acquiring methods for real decision problems.

引用

页码：272 / +

页数：2

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