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属性探索算法研究 被引量:3

On Attribute Exploration Algorithms
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摘要 Baader等人于2004~2007年将FCA方法引入描述逻辑中,建立了初步的属性探索算法。介绍了他们提出的属性探索算法,研究了该算法会产生冗余计算的可能情形。从相关性的角度提出了两种改进算法,并证明了它们的正确性。改进的算法在一定程度上避免了冗余,简化了计算。 Firstly introduce attribute exploration algorithm in FCA, which was applied to description logics by Baader etc. during 2004-2007. Different cases are inrestigated, in which the redundant computation may occur. As new results, two improved algorithms are proposed in terms of correlation; It also gives the proofs of the correctness of these two improved algorithms, which avoid redundancy and simplify computing in some certain.
出处 《计算机科学与探索》 CSCD 2009年第5期509-518,共10页 Journal of Frontiers of Computer Science and Technology
基金 国家自然科学基金项目No.60573010 60663001 广西研究生教育创新计划项目No.2008M025 2009106020701M31~~
关键词 描述逻辑 形式概念分析 属性探索算法 description logics formal concept analysis attribute exploration algorithms
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