Performance Evaluation of the Inference Structure in Expert System
Proceedings of the Tenth International Joint Conference on Artificial Intelligence. Reasoning. Pages 945-949.
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 I 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.
@inproceedings{ijcai1987p195,
title = {Performance Evaluation of the Inference Structure in Expert System},
author = {Yang, Tao and He, Zhijun and Yu, Ruizhao},
booktitle = {Proceedings of the Tenth International Joint Conference on
Artificial Intelligence, {IJCAI-87}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John McDermott},
pages = {945--949},
year = {1987},
note = {Reasoning},
url = {https://ijcai.org/proceedings/1987/195},
}
TY - CPAPER TI - Performance Evaluation of the Inference Structure in Expert System AU - Yang, Tao AU - He, Zhijun AU - Yu, Ruizhao T2 - Proceedings of the Tenth International Joint Conference on Artificial Intelligence, IJCAI-87 PB - International Joint Conferences on Artificial Intelligence PY - 1987 SP - 945 EP - 949 UR - https://ijcai.org/proceedings/1987/195 ER -Copied
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