Computer Science ›› 2009, Vol. 36 ›› Issue (10): 213-216.
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LIU Yao-hua, ZHOU Wen, LIU Zong-tian
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Abstract: The existing concept lattice model is unable to process data which contains not only fuzzy information but also scalar and Boolean information. The extended formal context includes many kinds of information such as scalar,fuzzy, l3oolcan, and interval. Therefore, how to build concept lattice from extended formal context, is a meaningful study. An interval scaling algorithm is proposed here to deal with the extended formal context and a corresponding concept lattice construction method is produced. In the end of this paper, the experimental results show that this algorithm is useful.
Key words: Concept lattice, Construction algorithm, Formal concept analysis, Fuzzy concept lattice, Interval concept latticc
LIU Yao-hua, ZHOU Wen, LIU Zong-tian. Interval Scaling Algorithm and its Concept Lattice Construction from Extended Formal Context[J].Computer Science, 2009, 36(10): 213-216.
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