高校图书流通量的优化灰导数白化值的无偏灰色GM(1,1)模型预测

Prediction of Book Turnover of University Library Based on Unbiased Grey-Fuzzy Model Optimized Grey Derivative Whitening Values

通过优化灰导数白化值,建立了无偏灰色GM(1,1)模型。并用此模型对九江学院图书馆2004～2009年化学类图书借阅量进行了预测,结果表明,预测结果精度较高,可为图书馆图书流通管理提供更为可靠的依据。

By optimizing grey derivative whitening values,this paper set up an unbiased GM（1,1）model.Book turnover of chemical books of Jiujiang university library from 2004a – 2009a was predicted based on the new model,results showed that predicted data is credible precision and can provide convinced foundation for the book –turnover management.