Fuzzy Matter Element Model based on Information Entropy for Forecasting the Population of the Corn Borer
Shifei Ding · Shuxue de shijian yu renshi · 2007
Using Fuzzy matter element model to forecast the population dynamics of the corn borer is analyzed.Information entropy is used to determine the weights of the evaluation indexes then compound Fuzzy matter element model is constructed.The area of relationship degree is constructed for forecast with the former years′ data and the later population is judged with the casting area of the forecast relationship degree.This method can avoid the subjective error of traditional classification and improve the veracity of forecast.