摘要
在复杂的决策环境中,集值信息是不可避免的。在此情况下,专家往往也能给出满意的决策。从集值信息系统中提取有用的规则,用于增强智能系统的知识库,具有实际意义。粗集是处理不确定信息的有效方法,但它通常适用于完全决策表。本文对粗集理论在集值信息下进行了初步的拓展,为从集值决策表中挖掘知识提供一定的理论基础。
Experts often have to make decisions with set-valued information under set-valued information underground and can give satisfactory solutions. Therefore, it is useful to extract meaningful rules from set-valued decision tables enhancing the quality of knowledge base of intelligent systems. As a method for dealing with indefinite information, previous rough set only concerns with complete decision tables. So the extension of rough set is necessary. In the paper, the problem is discussed, which provides theoretical foundation for mining knowledge from set-valued decision tables.
出处
《微型机与应用》
2015年第23期14-15,共2页
Microcomputer & Its Applications
关键词
粗集
集值信息
规则
rough set
set-valued information
rules
