| 题名: | A Fusion Mechanism for Management Decision and Risk Analysis |
| 作者: | Hsu, MF (Hsu, Ming-Fu)Chen |
| 贡献者: | 會計學系暨研究所 |
| 关键词: | FINANCIAL DISTRESS
FEATURE-SELECTION
RULE EXTRACTION
2-LEVEL DEA
ROUGH SETS
PREDICTION
PERFORMANCE
SVM
CLASSIFIERS
FEATURES |
| 日期: | 2019-04 |
| 上传时间: | 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 |
| 显示于类别: | [會計學系暨研究所 ] 期刊論文
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