DocumentCode :
2979523
Title :
Comprehensible credit scoring with fuzzy Artificial Immune System
Author :
Kamalloo, Ehsan ; Abadeh, Mohammad Saniee
Author_Institution :
Fac. of Electr. & Comput. Eng., Tarbiat Modares Univ., Tehran, Iran
fYear :
2010
fDate :
11-13 May 2010
Firstpage :
542
Lastpage :
547
Abstract :
Artificial Immune System (AIS) is inspired from natural immune system. It is being used in many applications but in recent years, its use in data mining has been increased. In this paper, we describe a novel fuzzy AIS algorithm named CCS-FAIS applied to credit scoring problem. The algorithm represents its knowledge with fuzzy if-then rules. These rules have made CCS-FAIS human-understandable which are useful for experts. Our experiments were performed on Australian and German Credit Approval data sets. The proposed classifier has high accuracy and is competitive to several well-known classification systems.
Keywords :
Artificial immune systems; Data mining; Fuzzy logic; Fuzzy systems; Genetic programming; Immune system; Risk management; Statistical analysis; Support vector machine classification; Support vector machines; artificial immune system; classification; credit scoring; fuzzy logic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering (ICEE), 2010 18th Iranian Conference on
Conference_Location :
Isfahan, Iran
Print_ISBN :
978-1-4244-6760-0
Type :
conf
DOI :
10.1109/IRANIANCEE.2010.5507011
Filename :
5507011
Link To Document :
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