粗糙集理论在葡萄病害方面的应用  

Application for Grape Diseases Based on Rough Set Theory

作　　者：韩芳芳[1] 吴昊[1] 倪玉霏[1] 温安[2] 顾兴军[1] 

机构地区：[1]西北农林科技大学信息工程学院院,陕西杨凌712100 [2]西北农林科技大学理学院,陕西杨凌712100

出　　处：《农机化研究》2011年第3期190-193,共4页Journal of Agricultural Mechanization Research

基　　金：西北农林科技大学科技创新项目(2009);西北农林科技大学人才资金项目(01140409);国家高技术研究发展计划项目(2006AA100208-2)

摘　　要：粗糙集是一种用途广泛的软计算方法,继概率论、模糊集、证据理论之后的又一个分析和处理不确定性、不完备信息的有效工具。为此,基于粗糙集理论的Pawlak模型,以葡萄3种病害(真菌类病害、细菌类病害、病毒类病害)为例建立知识库,对知识库进行知识约简,从而得出诊断规则,建立葡萄病害诊断模型进行诊断,从而达到预防和提高产量的目的。Rough set,a versatile soft computing method,is another effective tool to analyze and deal with uncertainty and incomplete information after the birth of probability,fuzzy sets,and evidence theory.As to the fact that present gradual increase of grape diseases curbs output and economic efficiency,this paper is an attempt based on Pawlak rough set model to first set up knowledge base by studying three kinds of grape diseases（fungal,bacteria and virus）.And then the knowledge base will be tested against knowledge reduction for generating diagnostic rules.We can diagnose various grape diseases by establishing a grape disease diagnostic model for the purpose of disease prevention and output increase.

关 键 词：粗糙集 葡萄病害 属性约简 决策规则 

分 类 号：S113[农业科学—农业基础科学]