粗糙集理论在农业知识发现中的应用研究  

Study on the Application of Rough Set Theory in Agricultural Knowledge Discovery

作　　者：李红梅[1] 贺小扬[1] 王雪冬[1] 

机构地区：[1]河北农业大学信息科学与技术学院,河北保定071001

出　　处：《安徽农业科学》2008年第6期2590-2591,共2页Journal of Anhui Agricultural Sciences

摘　　要：针对农业知识的特点,提出了基于粗糙集理论的知识发现方法。对数据进行预处理后,采用了基于遗传算法的属性约简,可提高搜索效率,最后进行规则提取。以农业病虫害诊断知识发现应用为实例说明了该方法的可行性。According to the character of agricultural knowledge,a knowledge discovery method based on rough set theory was presented.Firstly,the data was pretreated and genetic algorithm was used in attribution reduction so as to improve the searching efficiency.Then,the rules were extracted.An sample on plant diseases and pests diagnoses was given to illustrate the feasibility of this method.

关 键 词：粗糙集 遗传算法 知识发现 

分 类 号：S115[农业科学—农业基础科学]