FGA分析预测二代玉米螟危害程度

本文用模糊(Fuzzy)、灰色(Grey)、层次分析(Analystical Hierarchy Process缩写AHP)方法,简称FGA分析,确定各因素的权重系数,构成Fuzzy向量X,与列联比构成的Fuzzy矩阵R,进行模糊关系合成,以Y=X。R数学模型,预测二代玉米螟危害程度,经21年资料检验,回报准确率均达100%。通过贴近度分析,最后抉择以专家估测Y=X_F_1。R为最优综合评估法。这有助于解决专家系统和人工智能系统获取知识的难题。

FORECASTING HARM DEGREE OF THE SECOND GENERATION OF EUROPEAN MAIZE BORER BY FGA ANALYSIS

The weight coefficients of every factor are determined by the methods of Fuzzy,Grey and Analystical Hierarchy Process(FGA),composing the Fuzzy vectors X The Fuzzy matrix R is made up by contingency rate.Fuzzy relation composition is operated between X and R.The harm degree of second generation European maize borer is forecasted by mathematical model-Y=X·R.In spection of 21year data reveals that their historical coincidences all reach 100%.After closeness degree analysis,finally the expert reckoning Y = X_((F)_1)·R is chosen as a method of the most advantageous comprehensive evaluation.This helps to solve a hard problem to gain knowledge via expert system,artificial intelligence and ability system.