Design expert system tool with hybrid knowledge representation and reasoning

被引:2
|
作者
Jiang, Zhan Si [1 ]
Wu, Yi Zhong [1 ]
Chen, Li Ping [1 ]
Luo, Nian Meng [1 ]
机构
[1] Huazhong Univ Sci & Technol, Ctr Comp Aided Design, Dept Mech Sci & Engn, Wuhan 430074, Hubei, Peoples R China
基金
高等学校博士学科点专项科研基金;
关键词
expert system tool; knowledge representation; inductive reasoning; CBR; case-based reasoning;
D O I
10.1504/IJCAT.2008.021934
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
According to the characteristics and requirements for design expert systems, this paper describes a Design Expert System Tool (DEST) with hybrid knowledge representation and reasoning. The main goal is to provide an effective and convenient development environment of expert system for design domains. It adopts the technique of object oriented knowledge representation, which integrates frame, rule and procedure. For each knowledge representation, different inference engines are designed. Inductive reasoning and Case-Based Reasoning (CBR) are combined to form a hybrid inference engine. For improving the quality of case retrieval, it presents a new method of attribute similarity calculation and weight assigning. Moreover, it provides a visualisation knowledge management platform for expert and designer to build and apply expert systems.
引用
收藏
页码:120 / 130
页数:11
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