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    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/106402

    題名: Fuzzy association rule mining with type-2 membership functions
    作者: Chen, C. H.;Li, Y.;Hong, T. P.
    關鍵詞: Data mining;Fuzzy association rule;Membership functions;Type-2 fuzzy set
    日期: 2015-03-23
    上傳時間: 2016-04-27 11:11:57 (UTC+8)
    出版者: Springer International Publishing
    摘要: In this paper, a fuzzy association rule mining approach with type-2
    membership functions is proposed for dealing with data uncertainty. It first
    transfers quantitative values in transactions into type-2 fuzzy values. Then, according
    to a predefined split number of points, they are reduced to type-1 fuzzy
    values. At last, the fuzzy association rules are derived by using these fuzzy values.
    Experiments on a simulated dataset were made to show the effectiveness of
    the proposed approach.
    關聯: Intelligent Information and Database Systems Part II LNAI 9012, pp.128-134
    DOI: 10.1007/978-3-319-15705-4_13
    顯示於類別:[資訊工程學系暨研究所] 會議論文


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