Performance Evaluation of the Inference Structure in Expert System
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.
Cite
Text
Yang et al. "Performance Evaluation of the Inference Structure in Expert System." International Joint Conference on Artificial Intelligence, 1987.Markdown
[Yang et al. "Performance Evaluation of the Inference Structure in Expert System." International Joint Conference on Artificial Intelligence, 1987.](https://mlanthology.org/ijcai/1987/yang1987ijcai-performance/)BibTeX
@inproceedings{yang1987ijcai-performance,
title = {{Performance Evaluation of the Inference Structure in Expert System}},
author = {Yang, Tao and He, Zhijun and Yu, Ruizhao},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1987},
pages = {945-950},
url = {https://mlanthology.org/ijcai/1987/yang1987ijcai-performance/}
}