서지주요정보
(An) evidence fusion method based on the dempster-shafer theory = Dempster-shafer 이론을 이용한 징후 결합 방법
서명 / 저자 (An) evidence fusion method based on the dempster-shafer theory = Dempster-shafer 이론을 이용한 징후 결합 방법 / Jong-Man Lee.
저자명 Lee, Jong-Man ; 이종만
발행사항 [서울 : 한국과학기술원, 1987].
Online Access 원문보기 원문인쇄

소장정보

등록번호

4104536

소장위치/청구기호

학술문화관(문화관) 보존서고

MCS 8730

SMS전송

도서상태

이용가능

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반납예정일

초록정보

Managing uncertainty is one of the emerging issues in Expert Systems to produce high quality decisions from even incomplete and uncertain data. The Dempster-Shafer theory offers a mathematically solid framework for fusing evidence. However, its exact computation is in exponential space complexity. In order to reduce this complexity manageable, various approximation schemes have been proposed. In this thesis, we propose a new approximation scheme. That is, we extended the considering subsets to the set of given hypotheses and their complements. And, we assigned belief to be assigned to a subset A by Dempster’s combination rule, to all the smallest supersets of A in the set of considering subsets unless A is in the hypotheses set. This scheme possesses several advantages over the other approximation schemes. The first is that our scheme yields much closer approximations than others although it requires a little additional space. The second advantage is that the concept of the belief interval is still meaningful after combining evidence because the disconfirmatory belief for a proposition is available. The performance of the proposed scheme is examined through an evaluation with a sample data.

서지기타정보

서지기타정보
청구기호 {MCS 8730
형태사항 [ii], 35 p. : 삽도 ; 26 cm
언어 영어
일반주기 Includes appendix
저자명의 한글표기 : 이종만
지도교수의 영문표기 : Jin-Hyung Kim
지도교수의 한글표기 : 김진형
학위논문 학위논문(석사) - 한국과학기술원 : 전산학과,
서지주기 Includes reference
주제 Decision-making.
Aaproximation theory.
Uncertainty.
전문가 시스템. --과학기술용어시소러스
인공 지능. --과학기술용어시소러스
의사 결정. --과학기술용어시소러스
Expert systems (Computer science)
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