中国农业科技导报2017，Vol.19Issue(5)：129-137,9.DOI:10.13304/j.nykjdb.2016.352
基于灰色关联分析模型的烟叶化学成分评价研究进展
Research Progress on Quality Evaluation of Chemical Components in Tobacco Leaf based on Grey Incidence Analysis
摘要
Abstract
Tobacco quality evaluation has been a research spot through the indicator of tobacco chemical components.A large number of statistical methods have been widely used in the evaluation of tobacco quality.Grey incidence analysis is a multiple factors method,and the closeness of relationship of the multiple factors which is judged based on the similarity level of the geometric patterns of sequence curves.Therefore,the slope ratio of reference sequences and relevant sequences on every corresponding interval is used to reflect the closeness of the sequences.Grey correlation analysis is used as a novel factor analysis method which has a broad application prospect in digging the information of tobacco chemical components.Focused on tobacco chemical components,this paper summarized the current situation of tobacco quality evaluation,sorted out the application achievements of grey relation analysis in tobacco chemical components evaluation,compared several different grey relative degree models and their properties,and estimated the superiority of grey incidence model in digging the information from tobacco chemical components.关键词
灰色关联分析/烟叶/化学成分/质量评价Key words
grey incidence analysis/tobacco leaf/chemical components/quality evaluation分类
农业科技引用本文复制引用
陈征,任志广,范艺宽,赵晖,陈广晴,赵攀攀,许自成..基于灰色关联分析模型的烟叶化学成分评价研究进展[J].中国农业科技导报,2017,19(5):129-137,9.基金项目
河南省烟草公司科技攻关项目(HYKJ 201210,HYKJ 201043)资助. （HYKJ 201210,HYKJ 201043）
