摘要
本文通过引入时态一致覆盖集的概念,提出一个基于时态推理与覆盖技术的时态覆盖集诊断模型TGSC.TGSC利用模糊集描述有关征兆、故障及相互间关系的时态知识.文中建立了TGSC的基本框架,给出了基于假设图搜索的诊断问题求解方法,并伴以计算示例.
In this paper,by introducing the concept of temporal consistent set covering,a diagnostic model named TGSC based on temporal reasoning and set covering is proposed.TGSC uses fuzzy sets to describe temporal information about disorders,manifestations and relations between them.The basic framework of TGSC is built,the diagnostic problem solving method based on hypothesis graph searching is presented,and an example is given.
出处
《计算机学报》
EI
CSCD
北大核心
1994年第5期347-353,共7页
Chinese Journal of Computers
关键词
人工智能
故障诊断
集合覆盖
TGSC
Artificial intelligence
failure diagnosis set covering
fuzzy temporal knowledge.