한국지능시스템학회논문지 (Journal of the Korean Institute of Intelligent Systems)

  • 제5권4호
  • /
  • Pages.18-32
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  • 1995
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  • 1976-9172(pISSN)
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  • 2288-2324(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
권호 표지

자동화된 추론을 이용한 퍼지 조건연산자의 비교 분석

Comparison of Fuzzy Implication Operators using Automated Reasoning

  • 김용기 (경상대학교 컴퓨터학과)
  • 발행 : 1995.12.01
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⟨ 이전 논문 다음 논문 ⟩

초록

퍼지 정보 검색 기법을 이용한 가중치 선정 전락은,주어진 입력 문제로 부터 가중치의 패턴과 가중치를 자동적으로 선정함으로써, 추론 시간과 공간을 줄인다. 퍼지 가중치 선정 전략은 퍼지 삼각 관계곱 및 퍼지 신속관계 알고리즘을 사용하기 때문에 선택하는 퍼지 조건연산자와 $-cut에 따라서 결론을 추출하는 시간과 추론 단계의 수가 틀린다. 본 논문에서는, 퍼지 정보 검색을 이용한 추론 전략의 조절 방법에 대하여 개괄적으로 보이고, 잘 알려진 블럭 문제에 적용하여 주어진 영역에서 가장 적합한 퍼지 조건연산자와 $-cut을 선정한다.

Fuzzy rules, developed by experts thus far, may be often inconsistent and incomplete. This paper proposes a new methodology for automatic generation of fuzzy rules which are nearly complete and not inconsistent. This is accomplished by simulating a knowledge gathering process of humans from control experiences. This method is simpler and more efficient than existing ones. It is shown through simulation that our method even generates better rules than those generated by experts, under fine tuned parameters.

키워드

참고문헌

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