摘要
探讨了一个基于模糊关系方程的诊断模型 ,在本文的诊断模型中 ,加入了时间参数 ,给出了故障的征兆集和观察到的征兆集之间的一致性、相关性、覆盖性以及相等性的量化指标 ,用这些量化指标可以保证在知识不完备的情况下既不遗漏某一潜在的故障 ,又能得到与已知征兆集最佳匹配的解 .同时 ,讨论了诊断问题中知识的充分性、完备性及其关系 .
A fuzzy relation model for diagnosis is discussed in this paper. Based on consistent diagnosis?correlative diagnosis?covered diagnosis and equal diagnosis between the set of manifestations of a system and the set of observed effects,a set of criterion is presented. Using the set of criterion,a reasonable solution that can explain the observed manifestations is found,when the knowledge is not complete. Meanwhile,the abundance and completeness of the knowledge and their relation is discussed.
出处
《数学的实践与认识》
CSCD
北大核心
2004年第1期65-70,共6页
Mathematics in Practice and Theory
关键词
模糊诊断
征兆集
故障集
人工智能
diagnosis
fuzzy set
the set of manifestations
the set of effects
