|
|||||
|
|
| 专家系统中基于粗集的知识获取、更新与推理 | |
| 引用本文： | 安利平,张建勇,仝凌云.专家系统中基于粗集的知识获取、更新与推理[J].计算机工程与设计,2004,25(1):42-45. |
| 作者姓名： | 安利平 张建勇 仝凌云 |
| 作者单位： | 1. 南开大学,国际商学院,天津,300071 2. 天津海泰科技发展股份有限公司,天津,300384 3. 河北工业大学管理学院,天津,300130 |
| 摘 要： | 知识获取、知识更新和不确定性推理是设计专家系统的重要方面。根据粗集理论，提出了一种专家系统的结构模型，该系统在规则获取的基础上，利用系统运行的实例增量式地更新知识库中的规则及其参数，以改善系统的性能，利用知识库中的规则及数量参数进行不确定性推理，得出结论的可信度。 |
| 关 键 词： | 专家系统 粗集 知识获取 知识库 不确定性推理 |
| 文章编号： | 1000-7024(2004)01-0042-04 |
Knowledge acquisition,incremental modification and reasoning based on rough set theory in expert systems |
|
| AN Li-ping,ZHANG Jian-yong,TONG Ling-yun.Knowledge acquisition,incremental modification and reasoning based on rough set theory in expert systems[J].Computer Engineering and Design,2004,25(1):42-45. | |
| Authors: | AN Li-ping ZHANG Jian-yong TONG Ling-yun |
| Abstract: | Knowledge acquisition, incremental learning and uncertain reasoning are crucial technologies in expert systems. An expert system model based on rough set theory is proposed. The model updates the existing decision rules and their parameters using an incremental methodology on the basis of the existing knowledge base and cases. In addition, the inference engine uses the rules and their parameters in the knowledge base to perform under uncertainty. |
| Keywords: | rough sets expert systems knowledge acquisition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |