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Credit scoring models using soft computing methods : a survey
Joint Authors
Lahsasna, Adel
Ainon, Raja Nur
Wah, Teh Ying
Source
The International Arab Journal of Information Technology
Issue
Vol. 7, Issue 2 (30 Apr. 2010), pp.115-123, 9 p.
Publisher
Publication Date
2010-04-30
Country of Publication
Jordan
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
During the last fifteen years, soft computing methods have been successfully applied in building powerful and flexible credit scoring models and have been suggested to be a possible alternative to statistical methods.
In this survey, the main soft computing methods applied in credit scoring models are presented and the advantages as well as the limitations of each method are outlined.
The main modelling issues are discussed especially from the data mining point of view.
The study concludes with a series of suggestions of other methods to be investigated for credit scoring modeling.
American Psychological Association (APA)
Lahsasna, Adel& Ainon, Raja Nur& Wah, Teh Ying. 2010. Credit scoring models using soft computing methods : a survey. The International Arab Journal of Information Technology،Vol. 7, no. 2, pp.115-123.
https://search.emarefa.net/detail/BIM-57731
Modern Language Association (MLA)
Lahsasna, Adel…[et al.]. Credit scoring models using soft computing methods : a survey. The International Arab Journal of Information Technology Vol. 7, no. 2 (Apr. 2010), pp.115-123.
https://search.emarefa.net/detail/BIM-57731
American Medical Association (AMA)
Lahsasna, Adel& Ainon, Raja Nur& Wah, Teh Ying. Credit scoring models using soft computing methods : a survey. The International Arab Journal of Information Technology. 2010. Vol. 7, no. 2, pp.115-123.
https://search.emarefa.net/detail/BIM-57731
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical referenses : p. 122-123
Record ID
BIM-57731