Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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A Representation of Uncertain Knowledge of Rule Base Reasoning and Case Base Reasoning

규칙베이스와 사례베이스 추론의 불확실한 지식의 표현

  • 정구범 (경북대학교 상주캠퍼스 컴퓨터정보학부) ;
  • 노은영 (대구가톨릭대학교 컴퓨터정보통신공학부) ;
  • 정환묵 (대구가톨릭대학교 컴퓨터정보통신공학부)
  • Received : 2011.03.19
  • Accepted : 2011.04.15
  • Published : 2011.04.25
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Abstract

It is expected that the cooperation between rule-based reasoning and case-based reasoning gives us an efficient approach for flexible reasoning. In this paper, we present an integrated model of rule-base reasoning and case-base reasoning using the MVL automata model. In addition, we introduce how to handle the uncertainty in the integrated model.

규칙베이스 추론과 사례베이스 추론의 협조에 의해 보다 유연한 추론을 위한 효율적인 방법의 실현이 기대된다. 본 논문에서는 MVL 오토마타 모델을 적용하여 규칙베이스와 사례 베이스의 통합 추론모델과 이에 따른 불확실성 처리 방법을 제안한다.

Keywords

References

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