| 粗糙集理论在故障诊断专家系统中的应用 |
| |
| 引用本文： | 王凯,张永祥,李军. 粗糙集理论在故障诊断专家系统中的应用[J]. 计算机测量与控制, 2003, 11(11): 827-829 |
| |
| 作者姓名： | 王凯 张永祥 李军 |
| |
| 作者单位： | 海军工程大学,动力工程学院,湖北,武汉,430033 |
| |
| 摘 要： | 针对专家系统中知识获取的瓶颈问题，引入了一种基于粗糙集理论的专家系统模型。该模型在知识入库前对其进行过滤，并利用粗糙集理论的约简算法消除知识库的冗余，从而实现了对知识库结构和性能的有效维护及完善。
|
| 关 键 词： | 故障诊断专家系统 粗糙集理论 知识获取 人工智能 知识库 推理机 |
| 文章编号： | 1671-4598(2003)11-0827-03 |
| 修稿时间： | 2003-05-24 |
Application of Rough Set Theory in Fault Diagnosis Expert System |
| |
| WANG Kai,ZHANG Yong-xiang,LI Jun. Application of Rough Set Theory in Fault Diagnosis Expert System[J]. Computer Measurement & Control, 2003, 11(11): 827-829 |
| |
| Authors: | WANG Kai ZHANG Yong-xiang LI Jun |
| |
| Abstract: | Aimed at the bottleneck problem of obtaining knowledge of expert system, a rough-set-based expert system model is proposed. In this model, knowledge is filtrated before it is input to the knowledge base and the redundancies are eliminated by using the predigest arithmetic of rough set theory. Thereby the structure and performance of the knowledge base are effectively maintained and perfected according to this method. |
| |
| Keywords: | rough set fault diagnosis expert system |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
