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    Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/35584


    Title: A Novel Hybrid clustering Method for Multi-attribute Decision-Making Datasets
    Authors: 陳文欽
    Chen, Wen-chin
    Contributors: 工業管理學系
    Industrial Management
    Keywords: Fuzzy C-Means;Fuzzy Set theory;Rough Set Theory;MADM index function
    Date: 2012
    Issue Date: 2014-06-27 10:42:55 (UTC+8)
    Abstract: A function is proposed for descritizing and classifying the uncertain data of
    multi-attribute decision-making (MADM) datasets using a hybrid scheme incorporating fuzzy set
    theory, Rough Set (RS) theory and a modified form of the PBMF index function. The p
    Appears in Collections:[Industrial Management] Journal Articles

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