[Home ] [Archive]   [ فارسی ]  
:: year 2, Issue 3 (spring 2010) ::
JMBR 2010, 2(3): 157-182 Back to browse issues page
Application of Artificial Intelligent in the Prediction of Credit Rating of Banks Customers
Mahdieh Akhbari *, Mohammad Akhbari
Abstract:   (5082 Views)
This study examines a multi-objective fuzzy simplex-genetic algorithm being developed to predict the financial performance of legal customers of banks. Predicting the performance produced by the model was examined based on its ability to accurately identify credit default. Using available data from Keshavarzi bank for the period between 2001-2006، debt ratio، operational ratio، and return on equity were selected as descriptive variables، and on the other side، dependent variable was considered as a dummy variable. In order to train and validate the model، data were divided into two sets، model (in-sample) and test (out-of-sample). After running the algorithm، regardless the sensitivity and specificity ratios، the key variable were specified.
Keywords: Fuzzy Inference Systems, Simplex Algorithm, Genetic Algorithm Credit Rating
Full-Text [PDF 334 kb]   (3404 Downloads)    
Type of Study: Empirical Study |
Received: 2014/07/26 | Accepted: 2014/07/26 | Published: 2014/07/26

XML   Persian Abstract   Print

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
year 2, Issue 3 (spring 2010) Back to browse issues page
فصلنامه پژوهش‌های پولی-بانکی Journal of Monetary & Banking Research
Persian site map - English site map - Created in 0.04 seconds with 28 queries by YEKTAWEB 4570