Using Case-Based Reasoning in System Diagnostics and Maintenance

被引：0

作者：

Neykov, Neyko ^{[1
]}

Stefanova, Svetlana ^{[1
]}

机构：

[1] Angel Kanchev Univ Ruse, Ruse, Bulgaria

来源：

PROCEEDINGS OF SEVENTH INTERNATIONAL CONGRESS ON INFORMATION AND COMMUNICATION TECHNOLOGY, ICICT 2022, VOL. 3 | 2023年 / 464卷

关键词：

Knowledge management; Case-based reasoning; System troubleshooting;

D O I：

10.1007/978-981-19-2394-4_28

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Taking optimal decisions in many cases is related to knowledge, acquired in a relevant domain. The amount of information that forms that knowledge directly affects the quality of decisions. Neither large nor too small amounts of information lead to perfect problem solutions in areas where knowledge is particularly important. The use of case-based reasoning systems can help improve performance in situations where such knowledge is scarce or non-existent at all. Our goal is to offer a model of a system that will help diagnose and solve problems met by users when they use technical products, consisting of many software and hardware components.

引用

页码：305 / 312

页数：8

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