摘要
20世纪80年代初,波兰数学家Z.Pawlak提出RoughSet(RS)的数学理论,直到10年之后,由于这个理论在机器学习、从数据库中发现知识、决策支持与分析等方面的应用,才引起人工智能(AI)研究者的关注。介绍了Rough理论基本概念和方法,并将Rough集理论引入地质图形系统领域,给出了Rough集理论用于地质图形系统中属性分析和知识发现的方法。为地质图形系统的属性信息处理开辟了一条新途径。
The rough set （RS） is introduced by Z. Pawlak, a polish mathematician, in 1982. However, this theory hasn＇t been given much attention by researchers in artificial intelligence until the end of 80＇s. Rough set theory is introduced and applied in GGS （geologic graphics system）. The methods of rough set theory that are suitable for the problems of attribute analysis and knowledge discovery in GGS are summarized and proposed, including consistency of attribute table, attribute significance, attribute dependence, reduction of attribute table, etc. These methods are valuable in theory and practice and provide new solutions for GGS attribute analysis and knowledge discovery.
出处
《计算机工程与设计》
CSCD
北大核心
2007年第1期234-236,247,共4页
Computer Engineering and Design
