【摘要】 属性约简是粗糙集理论的核心问题之一,序信息系统中的属性约简也逐渐受到关注。基于优势类的概念,引入了序信息系统的一种信息粒度,用于度量属性集在序意义下的不确定性,进而给出了序信息系统中属性重要度的定义。在此基础上,设计了一种序信息系统的启发式属性约简算法,并通过实例分析进行了有效性检验。更多还原

【Abstract】 Attribute reduction is one of important problems in rough set theory,and attribute reductions in ordered information systems are also concerned in recent years.We first proposed a new information granulation based on dominance classes,which can be used to measure uncertainty of an attribute set in the context of ordered information systems.Using this information granulation,a definition of attribute significance was then given in ordered information systems.At last,a heuristic reduction algorithm was put forward to ordered information systems,and the validity of this algorithm was exemplified by an illustrative example.更多还原