摘要
将粒计算引入到不完备信息系统中,提出了粒域、粗糙粒域、邻近粒域的概念。由对象的粒域得到的邻近粒域估计缺失值,使缺失值与横向(属性)和纵向(对象)相联系,提高了估计值的可信度。
In this paper we mainly introduce granular computation into incomplete information system,and propose three concepts,they are the granular space,the rough granular space and the neighbourhood granular space. Lost values are estimated by neighbourhood granular space derived from granular space of the object,which makes the lost values link with the horizontal（attributes） and the vertical（objects） . This algorithm makes the lost values estimation more creditable.
出处
《计算机应用与软件》
CSCD
2010年第4期23-25,共3页
Computer Applications and Software
基金
国家自然科学基金(60775036)
关键词
不完备信息系统
缺失值
粒域
粗糙粒域
邻近粒域
Incomplete information system Lost values Granular space Rough granular space Neighbourhood granular space
