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    請使用永久網址來引用或連結此文件: https://irlib.pccu.edu.tw/handle/987654321/44630


    題名: A Fusion Mechanism for Management Decision and Risk Analysis
    作者: Hsu, MF (Hsu, Ming-Fu)Chen
    貢獻者: 會計學系暨研究所
    關鍵詞: FINANCIAL DISTRESS
    FEATURE-SELECTION
    RULE EXTRACTION
    2-LEVEL DEA
    ROUGH SETS
    PREDICTION
    PERFORMANCE
    SVM
    CLASSIFIERS
    FEATURES
    日期: 2019-04
    上傳時間: 2019-06-25 11:29:00 (UTC+8)
    摘要: This study introduces a fusion mechanism by incorporating a risk metric with two-level data envelopment analysis (two-level DEA) for describing a corporate's operation status and then constructs a hybrid model that combines rough set theory with artificial fish swarm algorithm (RSAFSA) and fuzzy support vector machine (FSVM) in order to forecast corporate operating performance. The introduced mechanism, supported by real-life cases, can assist both public and private market participants who must allocate their economic resources to suitable places as well as maximize their personnel wealth under anticipated risk exposure.
    關聯: Cybernetics and Systems 
    An International Journal
    Volume 50, 2019 - Issue 6 p.497-515
    顯示於類別:[會計學系暨研究所 ] 期刊論文

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