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    政大機構典藏 > 理學院 > 資訊科學系 > 期刊論文 >  Item 140.119/69124
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/69124

    Title: Efficient refinement of uncertain data by fuzzy integrity constraints
    Authors: 陳良弼
    Chang,Chih-Shyang;Chen,Arbee L.P.
    Contributors: 資科系
    Date: 1997
    Issue Date: 2014-08-21 14:47:21 (UTC+8)
    Abstract: Fuzzy data models were proposed to handle uncertain data. Based on a set of fuzzy functional dependencies, the fuzzy values in a fuzzy relation may be refined into clearer ones. In this paper, we develop efficient algorithms for the refinement process. A dependency graph is defined for a set of fuzzy functional dependencies. By this graph, an efficient refinement sequence can be determined. These algorithms are proved correct and efficient.
    Relation: Information Sciences: An International Journal (EI,SCI), Elsevier Science,191-212
    Data Type: article
    Appears in Collections:[資訊科學系] 期刊論文

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