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題名 類神經模糊專家系統在訴訟預警模型之應用:以公司治理觀點
其他題名 The Application of Neuro-Fuzzy Expert System in Litigation Prediction from the View of Corporate Governance
作者 林昱成;林金賢;陳雪如;莊家豪
Lin, Yu-Cheng;Lin, Chin-Shien;Chen, Hsueh-Ju;Zhuang, Jia-Hao
關鍵詞 類神經模糊專家系統理; 訴訟預警; 公司治
Neuro-fuzzy expert system; Litigation warning; Corporate governance
日期 2007-01
上傳時間 31-May-2016 16:30:56 (UTC+8)
摘要 本研究著眼於以公司治理觀點,來建構類神經模糊專家系統之訴訟預警模式,藉以輔助審計人員判斷受查客戶之風險程度,並進一步瞭解風險之由來。以傳統的羅吉斯迴歸作為類神經模糊專家系統解釋與預測績效的比較基準。實證結果發現,類神經模糊相較於傳統預測工具能提供較高的預測準確度、檢定力與資訊價值;而類神經模糊所提供的知識庫規則對變數間關係有更為細膩之描述,其有利於未來假設的更進一步驗證。
The main purpose of this study is to construct a litigation-presence warning model based on the corporate governance factors by applying neuro-fuzzy expert system. This fuzzy expert system can not only help the auditors evaluate the audit risks but also provide the reasons behind. Compared with the traditional used logit model, the proposed neuron-fuzzy model can provide more accurate prediction, testing power and information value. Besides, the relationship among the variables described in the knowledge base is much more elaborate than that contained in the logit model, which can be further pursued to do the hypothesis testing and theory building.
關聯 會計評論, 44,95-126頁
International Journal of Accounting Studies
資料類型 article
dc.creator (作者) 林昱成;林金賢;陳雪如;莊家豪zh_TW
dc.creator (作者) Lin, Yu-Cheng;Lin, Chin-Shien;Chen, Hsueh-Ju;Zhuang, Jia-Hao-
dc.date (日期) 2007-01-
dc.date.accessioned 31-May-2016 16:30:56 (UTC+8)-
dc.date.available 31-May-2016 16:30:56 (UTC+8)-
dc.date.issued (上傳時間) 31-May-2016 16:30:56 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/97079-
dc.description.abstract (摘要) 本研究著眼於以公司治理觀點,來建構類神經模糊專家系統之訴訟預警模式,藉以輔助審計人員判斷受查客戶之風險程度,並進一步瞭解風險之由來。以傳統的羅吉斯迴歸作為類神經模糊專家系統解釋與預測績效的比較基準。實證結果發現,類神經模糊相較於傳統預測工具能提供較高的預測準確度、檢定力與資訊價值;而類神經模糊所提供的知識庫規則對變數間關係有更為細膩之描述,其有利於未來假設的更進一步驗證。-
dc.description.abstract (摘要) The main purpose of this study is to construct a litigation-presence warning model based on the corporate governance factors by applying neuro-fuzzy expert system. This fuzzy expert system can not only help the auditors evaluate the audit risks but also provide the reasons behind. Compared with the traditional used logit model, the proposed neuron-fuzzy model can provide more accurate prediction, testing power and information value. Besides, the relationship among the variables described in the knowledge base is much more elaborate than that contained in the logit model, which can be further pursued to do the hypothesis testing and theory building.-
dc.format.extent 577233 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) 會計評論, 44,95-126頁-
dc.relation (關聯) International Journal of Accounting Studies-
dc.subject (關鍵詞) 類神經模糊專家系統理; 訴訟預警; 公司治-
dc.subject (關鍵詞) Neuro-fuzzy expert system; Litigation warning; Corporate governance-
dc.title (題名) 類神經模糊專家系統在訴訟預警模型之應用:以公司治理觀點zh_TW
dc.title.alternative (其他題名) The Application of Neuro-Fuzzy Expert System in Litigation Prediction from the View of Corporate Governance-
dc.type (資料類型) article-