- 채무불이행위험의 예측을 위한 CBR응용
- ㆍ 저자명
- 김진백,Kim. Jin-Baek
- ㆍ 간행물명
- 경영정보연구
- ㆍ 권/호정보
- 1999년|3권 |pp.179-199 (21 pages)
- ㆍ 발행정보
- 대한경영정보학회
- ㆍ 파일정보
- 정기간행물| PDF텍스트
- ㆍ 주제분야
- 기타
Case-Based Reasoning(CBR) offers a new approach for developing knowledge based systems. In case-based approach the problem solving experience of the domain expert is encoded in the form of cases. CBR has successfully been applied to many kinds of problems such as design, planning, diagnosis and forecasting. In this paper, CBR was applied for forecasting default risk. The applied result was successful in spite of the small casebase. Generally, CBR requires large casebase. So, if the number of data was large, the result was better. But in this paper, what financial variable was more forecastable was not tested. Next, this should be tested.