摘要
粗糙集理论研究的重要内容是分类与约简,其目的在于获取优良的规则知识,实现准确的决策.通过提出规则集合的决策度量思想,从整体上体现了对一个规则集合的衡量,为基于多知识库的决策奠定了基础.基于模型集成的基本思想,将规则知识库作为一个决策模型,根据规则集度量选择模型,通过模型集成实现决策融合.
The important research contents of rough set are classification and reduction, the purpose of which is to get rule knowledge and realize accuracy decision. The metrics for rule set is presented and the properties of a rule set are showed in general, which play an important role for decision of redundant knowledge. Based on the basic theory of model integration rough set, a formal model for multi-repositories is provided. One repository is regarded as a decision model. By building a model integration procedure decision fusion is realized.
出处
《控制与决策》
EI
CSCD
北大核心
2007年第6期657-662,共6页
Control and Decision
基金
国家十五攻关计划项目(2002BA218C)
湖南省自然科学基金项目(06JJ20075)
关键词
粗糙集
多知识库
决策融合
Rough set
Redundant knowledge
Decision fusion
作者简介
王加阳（1966-），男，长沙人，教授，博士，从事计算智能、决策支持等研究；Correspondent： WANG Jia-yang, E-mail： csuwjy@163.com.
王国仁（1966-），男，湖北崇阳人，教授，博士，从事数据挖掘、先进数据管理技术等研究．
