A Case-Based Reasoning Approach for a Decision Support System in Manufacturing

被引：0

作者：

Lang, Sascha ^{[1
]}

Plenk, Valentin ^{[1
]}

Schmid, Ute ^{[2
]}

机构：

[1] Hof Univ, Inst Informat Syst, Hof, Germany

[2] Univ Bamberg, Cognit Syst, Bamberg, Germany

来源：

ADVANCES AND TRENDS IN ARTIFICIAL INTELLIGENCE. FROM THEORY TO PRACTICE, IEA/AIE 2021, PT II | 2021年 / 12799卷

关键词：

Decision support system for industry; Case-based-reasoning; Case extraction; Reasoning on distance measurements;

D O I：

10.1007/978-3-030-79463-7_22

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose Case-based reasoning (CBR) as an approach to assist human operators who control special purpose production machines. Our support system automatically extracts knowledge from machine data and creates recommendations, which help the operators solve problems with a production machine. This support has to be comprehensive and maintainable by process experts, also the system has to be easy transferable to different machines. We present CBR as a suitable approach for a decision support system in an industrial production.

引用

页码：265 / 271

页数：7

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