Detecting Falsified Financial Statements Using a Hybrid SM-UTADIS Approach : Empirical Analysis of Listed Traditional Chinese Medicine Companies in China
By combining the similarity matching (SM) method with the utilities additives discriminates (UTADIS) method, we propose a hybrid SM-UTADIS approach to detect falsified financial statements (FFS) of listed companies. To evaluate the performance of this hybrid approach, we conduct experiments using th...
保存先:
| 主要な著者: | , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Wiley
2020-01-01
|
| シリーズ: | Discrete Dynamics in Nature and Society |
| オンライン･アクセス: | http://dx.doi.org/10.1155/2020/8865489 |
| タグ: |
タグなし, このレコードへの初めてのタグを付けませんか!
|