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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/90599

    Title: A Flexible Order of Assessment: A Case Study
    Authors: Lai, Sheng-Wei;Chiang, Ding-An;Wang, Yi-Hsin;Chen, Chih-Yang
    Contributors: 淡江大學資訊工程學系
    Keywords: Assessment;fuzzy set;data mining;decision tree;associatuon rule
    Date: 2010-06
    Issue Date: 2013-07-03 10:11:05 (UTC+8)
    Publisher: Faisalabad: A N S I Network
    Abstract: In this study, we proposed a fuzzy data mining method to improve the situation, which changed the traditional assessment from a strict order into a flexible order. Experimental results have demonstrated the efficiency to reduce the amount of assessed questions. By using fewer questions will increase the participants willingness. Therefore, the high risk groups can be predicted rapidly and do further assessment and counseling.
    Relation: Information Technology Journal 9(6), pp.1133-1141
    DOI: 10.3923/itj.2010.1133.1141
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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