원문정보
초록
영어
Case- based reasoning(CBR) offers a new approach for developing knowledge based systems. Unlike the rule-based paradigm, in which domain knowledge is encoded in the form of production rules, in the case-based approach the problem solving experience of the domain expert is encoded in the form of cases stored in a casebase(CB). CBR allows a reasoner (1) to propose solutions in domains that are not completely understood by the reasoner, (2) to evaluate solutions when no algorithmic method is available for evaluation, and (3) to interprete open-ended and ill-defined concepts. CBR also helps reasoner (4) take actions to avoid repeating past mistakes, and (5) focus its reasoning on important parts of a problem. Owing to the above advantages, CBR has successfully been applied to many kinds of problems such as design, planning, diagnosis and instruction. In this paper, I propose case-based DSS(CBDSS). CBDSS is an intelligent DSS using CBR technique. CBDSS consists of interface, case-based reasoner, maintainer, casebase management system, domain dependent CB, domain independent CB, and so on.
목차
II. DSS의 구조와 의사결정과정
1. DSS의 구조
2. 의사결정과정과 지원도구
III. 사례와 사례기반 추론
1. 사례와 사례표현
2. 사례기반 추론
3. 사례기반 추론과 유사추론 방법의 비교
IV. DSS와 사례기반 추론의 결합
1. DSS와 사례기반 추론의 결합 필요성
2. 의사결정지원 도구로서의 사례기반 추론
3. 사례기반 DSS의 구조
4. 사례기반 DSS의 구성요소
V. 결론
참고문헌
Abstract