计算机科学 ›› 2010, Vol. 37 ›› Issue (1): 258-260.
• 人工智能 • 上一篇 下一篇
王锋,钱宇华,梁吉业
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WANG Feng,QIAN Yu-hua,LIANG Ji-Ye
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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。
关键词: 序信息系统,优势类,启发式约简算法
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 systerns. Using this information granulation, a definition of attribute significance was then given in ordered information systams. 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.
Key words: Ordered information systems, Dominance classes, Heuristic reduction algorithm
王锋,钱宇华,梁吉业. 序信息系统的启发式属性约简算法[J]. 计算机科学, 2010, 37(1): 258-260. https://doi.org/
WANG Feng,QIAN Yu-hua,LIANG Ji-Ye. Heuristic Attribute Reduction Algorithm to Ordered Information Systems[J]. Computer Science, 2010, 37(1): 258-260. https://doi.org/
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