文化大學機構典藏 CCUR:Item 987654321/29119
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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://irlib.pccu.edu.tw/handle/987654321/29119


    题名: SELECTION OF MULTIPLE COMBINATION STRATEGIES FOR RISK ASSESSMENT
    作者: Lin, Sin-Jin
    Wang, Chang-Sheng
    Hsu, Ming-Fu
    贡献者: 化材系
    关键词: manifold learning
    hybrid mechanism
    decision support
    multiple criteria decision making
    risk assessment
    日期: 2014-11-05
    上传时间: 2015-01-19 14:24:59 (UTC+8)
    摘要: The effectiveness of precisely predicting whether a corporation will fall into a decline stage is an emerging topic in financial decision making. Faulty decision making by managers can cause a higher possibility of financial failure. Thus, this study introduces a model that incorporates manifold learning and hybrid mechanisms to yield appropriate financial support for users. We generate the hybrid mechanisms through multiple combination strategies. However, it is unknown what kinds of combination strategy can achieve optimal performance. This task can be solved systematically by using an MCDM algorithm. The results indicate that the "classification+classification" combination strategy attains an outstanding performance.
    關聯: CYBERNETICS AND SYSTEMS Volume: 45 Issue: 8 Pages: 622-634
    显示于类别:[化學工程與材料工程學系暨碩士班] 期刊論文

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