Fuzzy Darwinian Detection of Credit Card Fraud

퍼지-다윈의 불량 신용 탐지 시스템

  • Bentley, Peter J. (Department of Computer Science, University College London) ;
  • Kim, Jung-Won (Department of Computer Science, University College London) ;
  • Jung, Gil-Ho (School of Electrical and Computer Engineering, Sungkyunkwan University) ;
  • Choi, Jong-Uk (School of Information Communication, Sangmyung University)
  • ;
  • 김정원 (런던대학교 전산학과) ;
  • 정길호 (성균관대학교 전기전자 및 컴퓨터공학부) ;
  • 최종욱 (상명대학교 정보통신학부)
  • Published : 2000.10.13

Abstract

Credit evaluation is one of the most important and difficult tasks fur credit card companies, mortgage companies, banks and other financial institutes. Incorrect credit judgement causes huge financial losses. This work describes the use of an evolutionary-fuzzy system capable of classifying suspicious and non-suspicious credit card transactions. The paper starts with the details of the system used in this work. A series of experiments are described, showing that the complete system is capable of attaining good accuracy and intelligibility levels for real data.

Keywords