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Intent Waned Values and Attribute Reduction in Format Concept |
MA Yuan |
School of Software, University of Science and Technology LiaoNing, Anshan 114051 |
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Abstract Attribute reduction is a hot topic in the area of concept lattice. The idea of intent waned values is used to prove that the set composed of arbitrary elements taken from intent waned values of each unique upper-neighbor concept is a reduction, thereby providing a simple algorithm of seeking all reductions, and this algorithm has a quite visual image in Hasse picture. Since the proposed algorithm only concerns unique upper-neighbor concepts, it can be finished by simply conducting some intersection calculation on context with no need to seek all the concept lattices. Therefore, the time and the space complexities of the proposed algorithm is still polynomial.
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Received: 07 May 2012
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