摘要
为解决传统粗糙集不确定度量存在的局限,提出将变精度粗糙信息熵作为度量标准.该度量标准不仅具有变精度粗糙集良好的抗噪声干扰性能,而且具有基于信息理论的粗糙信息熵更全面反映系统不确定性的能力.给出了基于变精度粗糙信息熵的特征约简算法,实验结果表明该算法具有良好的运行效果.
To solve the limitation of uncertainty measure in classical rough set, a measure criterion based on variable precision rough information entropy is proposed. The new criterion has a good tolerance to noise the same as variable precision rough set. At the same time, it has the same power to represent uncertainty as information theory based rough information entropy. An algorithm of feature reduction based on variable precision rough information entropy is presented. Experiments results show that the algorithm yields satisfying reduction results.
出处
《控制与决策》
EI
CSCD
北大核心
2009年第2期297-300,304,共5页
Control and Decision
关键词
变精度粗糙集
信息熵
约筒
Variable precision rough set
Information entropy
Reduction
