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Concept Lattice in Incomplete Knowledge System

This paper deals with formal concepts in incomplete information systems(IIS) using rough set theory. The maximum distribution reducts based on attributes IIS are first proposed. The relationships between the reducts in the source system and in its selections are investigated. We can acquire concept lattices from incomplete systems by their optimal selections. Empirical studies on UCI data sets demonstrate a significant accuracy obtained from this new approach.