A Study of Fuzzy Reasoning in Expert System

전문가 대체 시스템에서의 퍼지 추론에 관한 연구

  • Published : 1990.06.01

Abstract

This paper shows the fuzzy reasoning process that is specifically designed to deal wit the inexactness or fuzziness in the expert systems. The impact of overall fuzzy reasoning reviewed when knowledge with certainty is provided. Also, the example of fuzzy reazoning used at probabilistic inference is presented.

본 연구는 전문가 대체 시스템에서 모호하거나 절대적인 정의가 없는 개념들을 퍼 지 논리를 이용하여 추론해 나가는 과정을 제시하고 있다. 호가실한 정보가 주어졌을 때 전 체적인 퍼지 추론에 어떻게 영향을 미치는가를 검토하였으며, 구체적으로 확률적 추론에 이 용되는 퍼지 추론의 예를 제시하였다.

Keywords

References

  1. Fuzzy Sets and System: Theory and Application Dubois,D.;Prade,H.
  2. Expert Systems: Knowledge, Uncertainty and Decision Graham,Ian;Jones,Peter Llewelyn
  3. Knowledge Acquisition for Expert System(2nd ed.) Hart, Anna
  4. Int. J. of Intelligent systems Ⅱ v.15 Quantitative Models for Reasoning under Uncertainty in Knowledge-Based Expert System Lee,Newton S.;Grize,Yves L.;Dehnad,Khosrow
  5. Fuzzy Techniques in Pattern Recognition Kandel,A.
  6. Fuzzy Set and Probability Theory: Recent Developments Fuzzy Techniques in Pattern Recognition Kania,A.A.;R.R.Yager(ed.)
  7. Computer Assisted Decistion-Making SPⅡ-1 : A Simple Inference Engine of Accomnodating Both Imprecision and Uncertainty Martin-Clouaire,R.;Prade,H.;G.Mitra(ed.)
  8. The Elements of Artificial Intelligence: An Introduction using LISP Tanimoto,Steven L.
  9. Fuzzt Sets And Systems v.1 Fuzzy Sets as a Basis for a Theory of Possibility Zadeh,L.A.
  10. Information and Control v.8 Fuzzy Sets Zadeh,L.A.
  11. Information Science v.8;9 The Concept of Linguistic Variable and its Application to Approximate Reasoning -Ⅰ,Ⅱ,Ⅲ Zadeh,L.A.
  12. Machine Intelligence 9 A Theory of Approximate Reasoning Zadeh,L.A.;J.Hayes(ed.);D.Michie(ed.);L.Mikulich(ed.)