江西省农业专家系统的构建及数据库模式层的改进

Construction of The Agriculture Export System And Improvement of The Database Schema

江西省农业专家系统由智能决策子系统和多媒体信息子系统2部分组成,综合集成了人工智能、多媒体技术和农业领域知识,采用基于模糊产生式规则的知识表示和混合推理控制的策略,较好地解决了农业信息数据量庞大,知识的复杂性和不精确性,以及多媒体信息较多,数据的不确定性等难点问题。针对专家系统升级数据库时遇到的数据冗余、更改、添加以及删除异常的问题,深入研究了数据库模式层的规范化理论,从而成功解决了农业专家系统知识库更新的问题。

This agriculture export system is made up of the intelligence decision sub-system and the mufti-media information sub-system and is integrated with the artificial intelligence,mufti-media technique and specialized agriculture knowledge.By using the expression of knowledge based on the RBR system and the mixed reasoning control strategy.The system resolves many problems of agriculture expert system such as the complexity and imprecision in the domain of agriculture,too huge data quantity and large multimedia information,as well as the incertitude of data.Aimed to resdve the abnormal problems of the data redundancy,changing,increasing and deleting when the Agriculture Expert System updates its database,this article goes deep into researching the theoretic of the database mode layer standardization.