MRM: A matrix representation and mapping approach for knowledge acquisition

被引：20

作者：

Chen, Chun-Hslen ^{[1
]}

Rao, Zhiming ^{[1
]}

机构：

[1] Nanyang Technol Univ, Sch Mech & Aerosp Engn, Singapore 639798, Singapore

来源：

KNOWLEDGE-BASED SYSTEMS | 2008年 / 21卷 / 04期

关键词：

knowledge-based systems; knowledge acquisition; general sorting; matrix representation and mapping; rule generation;

D O I：

10.1016/j.knosys.2007.07.002

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Knowledge acquisition plays a critical role in constructing a knowledge-based system (KBS). It is the most time-consuming phase and has been recognized as the bottleneck of KBS development. This paper presents a matrix representation and mapping (MRM) approach to facilitate the effectiveness of knowledge acquisition in building a KBS. The proposed MRM approach, which is based on matrix representation and mapping operations, comprises six consecutive steps for generating rules. The procedure in each step is elaborated. A case study oil primarily diagnosing all automotive system is employed to illustrate how the MRM approach works. (C) 2007 Elsevier B.V. All rights reserved,

引用

页码：284 / 293

页数：10

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