| 摘要: |
| 知识获取是开发专家系统的瓶颈，传统的病害知识获取通常需要一个较长的过程．针对这一问题，本文给出了粗糙集理论和基于规则的作物病害知识之间的关系，即在油菜植病专家知识获取过程中的应用，建立了基于RHINOS 诊断模型的油菜病害的排除规则、包含规则和病害映像，阐述了可能性规则定义，并给出了基于规则描述的自动归纳推理方法，包括全搜索过程、后处理过程、统计测试的评估以及交叉验证和鞋带方法等．实验结果表明，粗糙集不仅是一个很好的知识获取的框架，而且能正确的归纳推理植物病害的规则．这对诊断型专家系统的开发可起到一个很好的辅助作用，在智能化农业信息系统中有着广泛的应用前景． |
| 关键词: 专家系统 粗糙集 知识获取 知识表示 诊断型知识 |
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| 基金项目:SuppoSed bythe National High-Tech Research and Development Plan ofChina under Grant Nos．2001AAll3020 2003AAll8010(国家高技术研究发展计划(863)) |
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| A Knowledge Acquisition Method Based on Rough Set in Diagnostic Expert System |
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LI Ai-Ping,SUI Pin-Bo,JIA Yah,LIAO Gui-Ping,WU Quan-Yuan
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| Abstract: |
| Knowledge acquisition is the bottleneck in developing expert system．It usually takes a long period to acquire disease knowledge using the traditional methods．Aiming at this problem，the paper presents the relationship between rough sets and rule-based rapeseed disease knowledge，namely the application of rough sets in knowledge acquisition from rapeseed disease expert．Then the exclusive rules，inclusive rules and disease images of rapeseed disease are built based on the RHINOS diagnosis model，and the definition of probability rule is put forward．At last，the paper presents the rule-based automated induction reasoning method，including exhaustive search，post-processing procedure，estimation for statistic test and the bootstrap and resampling methods．The results of experiment show that rough sets not only are a good framework for knowledge acquirement，but also Can accurately induct the rules of plant diseases．This method Can act as the assistant tool for development of diagnosis expert system，and has a extensive application in intelligent agriculture information systems． |
| Key words: expert system rough set knowledge acquisition knowledge representation diagnostic knowledge |
