The Interpretability of Rule-based Modeling Approach and Its Development

被引：0

作者：

Zhou Z.-J. ^{[1
]}

Cao Y. ^{[1
]}

Hu C.-H. ^{[1
]}

Tang S.-W. ^{[1
]}

Zhang C.-C. ^{[1
]}

Wang J. ^{[1
]}

机构：

[1] Missile Engineering College, Rocket Force University of Engineering, Xi'an

来源：

Zidonghua Xuebao/Acta Automatica Sinica | 2021年 / 47卷 / 06期

基金：

中国国家自然科学基金;

关键词：

Interpretability; Rule-based modeling approach; System modeling; Uncertainty;

D O I：

10.16383/j.aas.c200402

中图分类号：

学科分类号：

摘要：

The model interpretability refers to the ability to express the real system behavior in an understandable way. With the increasing of reliability requirements in engineering practice, establishing a reliable and interpretable model to enhance human understanding of real systems has become one of the main objectives. Rule-based modeling approach can describe the system mechanism more intuitively. It can not only effectively integrate quantitative information and qualitative knowledge, but can also deal with uncertain information flexibly. This paper combs researches on the interpretability of rule-based modeling approach around the knowledge base, inference engine and model optimization, and finally makes a brief review and prospect. Copyright © 2021 Acta Automatica Sinica. All rights reserved.

引用

页码：1201 / 1216

页数：15