Performance evaluation of the inference structure in expert system

  • Authors:
  • Yang Tao;He Zhijun;Yu Ruizhao

  • Affiliations:
  • Artificial Intelligence Laboratory, Department of Computer Science and Engineering, Zhejiang University, Hangzhou, P.R. China;Artificial Intelligence Laboratory, Department of Computer Science and Engineering, Zhejiang University, Hangzhou, P.R. China;Artificial Intelligence Laboratory, Department of Computer Science and Engineering, Zhejiang University, Hangzhou, P.R. China

  • Venue:
  • IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 2
  • Year:
  • 1987

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Abstract

There are a variety of factors that affect the performance of an expert system. This paper presents an evaluating method focusing on the complexity, costs and efficiency of inference structure in a rule Knowledge-source based expert system. The performance measuring factors proposed here, when fedback to Knowledge engineers, can help them gain a quantitative understanding of reasoning performance of Knowledge acquired at the (early) stages of the development life cycle, and enable them to make a numeric comparison and a choice among several structures, or have some refinements. This paper also presents some application examples of this evaluating method and describes an evaluating facility based on it.