摘要
对粗糙集理论的知识运算原理及其在工程领域智能决策问题中的应用方法进行了探讨。得出利用该工具实施知识发现,其依据是知识库的知识间存在着知识包含关系、关于论域的多种知识表达方式间存在着知识等价概念。而所发现的知识规则,本质上是原始知识库中所积累的点滴知识规则集合被高度概括为知识颗粒集合的结果。由此得出,获得真实、有效的原始诊断知识资源,使它们能够与领域专家的知识保持协调一致关系,并具有诊断知识挖掘的价值,则是关于诊断知识发现研究能够解决机械故障智能诊断的知识获取难题需开展的最基础工作。这引发出了对机械故障诊断的知识资源用数据方式去进行科学化妥善保护问题研究的新课题。
The principle on the hand of knowledge operation of rough set theory was explored. The foundations realizing the knowledge discovery with the tool were found. There are a sort of knowledge inclusive relation and knowledge equation conception within knowledge in a knowledge base over same universe. The fact of knowledge rule mined out from a set of data is that knowledge containing in an original knowledge base was generalized the results into the set of knowledge particles. So, the correlative studies with regard to knowledge discovery in a special universe must use the true and effective as well as original universe data. And the data should accord the knowledge with the universe experts. It is a basic guarantee to makes the investigative results be generalized to a special engineering applications.
出处
《润滑与密封》
CAS
CSCD
北大核心
2009年第6期8-12,16,共6页
Lubrication Engineering
基金
国家自然科学基金项目(50875118)
兰州理工大学博士基金项目(SB02200702)
关键词
粗糙集理论
知识获取
知识包含关系
知识等价概念
机械故障诊断
rough set theory
knowledge acqusition
knowledge inclusion relation
knowledge equivalence notion
machine faults diagnosis
