摘要
属性约简是粗糙集理论的核心内容之一。针对变精度粗糙集理论的属性约简问题,从属性依赖度增量、互信息增量角度对属性重要度进行分析,并以这两个属性重要度的度量作为启发式信息,给出变精度粗糙集属性约简的启发式算法。最后,通过具体算例说明所给算法的有效性和实用性。
Attributes reduction was one of the key problems in rough set theory.Attribute significance is con-sidered from the increment of dependence of attribute and the increment-ofmutual information which is regarded as heuristic information in the heuristic algorithms.At last,an example was given to explain the validity and feasibility of algorithms.
出处
《软件导刊》
2010年第10期33-34,共2页
Software Guide
关键词
变精度粗糙集
属性重要度
约简
属性约简
Variable Precision Rough Set
Attribute Significance
Reduction
Attributes Reduction
