应用灰色关联度分析关键因子的研究

THE USE OF GREY SEQUENCE FOR THE IDENTIFICATION OF KEY FACTORS FROM LIFE TABLE DATA OF INSECTS

提出了应用灰色关联度分析关键因子的新方法．该方法具有整体性、非对称性、有序性、动态性计算方法简便等优点，因此，它能准确地判断出关键因子，并显示出其他因子的相对重要性。文中以青杨天牛生命表资料为例进行了例证研究。选用了几种害虫的生命表资料进行了灰色关联序与其他分析方法排序的比较，证实了灰色关联度分析法的正确性与实用性，为分析影响害虫种群动态的关键因子提供了更为有力的手段。

A new method for the identification of key factors from life table data of insects is proposed, i. e. the analytic method of grey sequence. The method possesses the integral, asymmetric, sequential, dynamic, and simple and convenient merits. It can accurately identify key factors and show the relative importance of other factors, An illustrative study was made with the life table data of Seperda populnea L. Using the life table data of some insects, the grey sequence was compared with other analytic methods of sequence. The result shows that analytic method of grey sequence is correct and. practicable. The method is a new one for the identification of key factors affecting population dynamics of insect pests.