Predicting Bank Bankruptcies with Neuro Fuzzy Method
The aim of this study is to actualize the prediction of bankruptcies of the banks whose financial structures have gone bad with various reasons and transferred to Savings Deposit Insurance Fund especially in 2000-2001 crisis years, with neuro fuzzy. Neuro fuzzy does not have the problems which are sourced from the hypothesis of statistical methods and as in artificial neural network, it can learn the relationship of the data. At the same time the model does not stay in a black box like artificial neural network, the process of predicting of the model can be commented. Because of these features neuro fuzzy appears as an alternative. In this study, besides getting high prediction success from neuro fuzzy, the addition of the forerunner indicators on the decision making process can also be commented
Volume (Year): 3 (2009)
Issue (Month): 1 ()
|Contact details of provider:|| Postal: |
Phone: +90-312-455 65 00
Fax: +90-312-424 08 77
Web page: http://www.bddk.org.tr/WebSitesi/turkce/Raporlar/BDDK_Dergi/BDDK_Dergi.aspx
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:bdd:journl:v:3:y:2009:i:1:p:9-36. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zafer Kovancý)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.