Towards a Comprehensible and Accurate Credit Management Model: Application of Four Computational Intelligence Methodologies

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Tsakonas:2006:EFS,

• author = "A. Tsakonas and N. Ampazis and G. Dounias",
• title = "Towards a Comprehensible and Accurate Credit Management Model: Application of Four Computational Intelligence Methodologies",
• booktitle = "2006 International Symposium on Evolving Fuzzy Systems",
• year = "2006",
• pages = "295--299",
• address = "Ambleside",
• month = sep,
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "0-7803-9719-3",
• DOI = "doi:10.1109/ISEFS.2006.251142",
• abstract = "The paper presents methods for classification of applicants into different categories of credit risk using four different computational intelligence techniques. The selected methodologies involved in the rule-based categorisation task are (1) feedforward neural networks trained with second order methods (2) inductive machine learning, (3) hierarchical decision trees produced by grammar-guided genetic programming and (4) fuzzy rule based systems produced by grammar-guided genetic programming. The data used are both numerical and linguistic in nature and they represent a real-world problem, that of deciding whether a loan should be granted or not, in respect to financial details of customers applying for that loan, to a specific private EU bank. We examine the proposed classification models with a sample of enterprises that applied for a loan, each of which is described by financial decision variables (ratios), and classified to one of the four predetermined classes. Attention is given to the comprehensibility and the ease of use for the acquired decision models. Results show that the application of the proposed methods can make the classification task easier and - in some cases - may minimise significantly the amount of required credit data. We consider that these methodologies may also give the chance for the extraction of a comprehensible credit management model or even the incorporation of a related decision support system in banking",
• notes = "Dept. of Financial & Manage. Eng., Aegean Univ., Chios",

}

Genetic Programming entries for Athanasios D Tsakonas Nikoloas Ampazis Georgios Dounias

Citations