摘要
文中提出了基于属性支持度的连续属性的离散化的一种方法 ,在Na veScaler算法基础上利用了决策属性支持度作为准则 ,进一步减少了用Na veScaler算法处理后的离散化后的断点数 ,试验表明了该方法使得离散化后的规则集合更加简洁 ,更便于属性约简。
The paper presents a method of discretization of successive attribute based on decision attribute support degree. Based on Nave Scaler algorithm,we take decision attribute support degree as a regulation,which can decrease the segmentation dot number after it is dealt with by Nave Scaler algorithm. The experiment demonstrates that this method is more concise for the rule set after discretization and more convenient for attribute reduction.
出处
《长沙航空职业技术学院学报》
2004年第1期12-15,共4页
Journal of Changsha Aeronautical Vocational and Technical College
关键词
粗糙集理论
连续属性
离散化
决策表
Rough set
decision table
successive attribute
decision attribute support degree
discretization