지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2012.4
- 수록면
- 285 - 288 (4page)
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초록· 키워드
오류제보하기
The private credit scoring and/or credit assessment on companies are important and hard topics for the financial consultants. To support them, various statistical models and intelligent evaluation mechanisms were proposed. Most of the research methodologies, however, were just focused on the accuracies of their decisions. In this study, we hadtried to focus on the interpretability of the processes of the evaluations. For the purpose, we proposed a hierarchical evaluation processes based on FCM inference. It will help the human expert to persuade the credit loan applicants when they are in ambiguous situations. In addition, it could help the loan applicant to be ready before the credit evaluations.
목차
Abstract
1. Introduction
2. CM and FCM
3. Research methodology
4. Experiment
References
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