A multi-factorial decision-making model for deduction of rules in rough sets

被引：0

作者：

Wang, JS ^{[1
]}

Li, MQ ^{[1
]}

机构：

[1] Tianjin Univ, Dept Management Informat Syst, Tianjin 300072, Peoples R China

来源：

PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5 | 2000年

关键词：

rough sets; decision support; knowledge discovery;

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：

Rough Set theory is a new mathematical tool to deal with vagueness and uncertainty. It has been used in machine learning, knowledge discovery, decision support systems and pattern recognition. Traditionally, the algorithm to obtain the deduction of decision rule in rough sets theory always take more into account of the number of decision rules than the cost of the rules. In this paper, we introduce how to reconcile the conflict of the simplicity and the cost of rules by using multiple objectives decision-making (MOD), and the efficiency and effectiveness of rough set can be improved.

引用

页码：383 / 386

页数：4