摘要
原始从单论域出发讨论动态系统的知识发现和规则挖掘,其应用范围受到极大限制。通过构造性方法对原始的S-粗集粗糙集模型进行推广,提出双论域上的S-粗集模型。分析了S-粗集与Z.Pawlak粗集、以及单论域S-粗集与双论域S-粗集的关系。并讨论了双论域S-粗集一些相关性质及在疾病诊断上的应用。
The application scope of the primitive model of S-rough sets is extremely restricted owing to its dynamic discussion of knowledge discovery and formula exploration from the perspective of single universe.The primitive model of S-rough sets is extended to the double universes by means of constructive method.The relationships between S-rough sets and Z.Pawlak rough sets, between S-rough sets on the single universes and on the double universes are analyzed,and a discussion about some correlative properties of S-rough sets on double universes is discussed and an application in disease diagnosis is given.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第5期33-35,共3页
Computer Engineering and Applications
基金
国家自然科学基金No.10771171
甘肃省教育厅科研基金(No.0701-16)
兰州市科技计划项目(No.2008-1-34)~~
关键词
粗糙集
S-粗集
双论域
集值映射
rough sets
S-rough sets
double universes
multivalued mapping
