摘要
GM(1,1)模型,即灰色预测模型,通过处理已知信息中有价值的部分,能够预测随机系统的运动规律与趋势。文章以《武书连中国大学排行榜》中2012—2018年高校科研竞争力指数为依据,借助弱化缓冲算子对传统的GM(1,1)模型进行改进,从而更加准确地预测各高校科研发展趋势,为高校事业的未来规划提供理论支持。
GM(1,1)model, namely grey prediction model, can predict the movement rule and trend of the random system by processing the valuable part of the known information. The paper is based on the index of university scientific research development in the list of Wu Shulian Chinese University Rankings from 2012 to 2018. With the help of the weakening buffer operator, the traditional GM(1, 1)model is improved. So that the GM(1, 1)model can predict the trend of scientific research development more accurately and provide theoretical support for decision making and planning department.
出处
《图书馆研究与工作》
2019年第1期11-15,共5页
Library Science Research & Work
关键词
GM(1
1)模型
高校
科研竞争力
弱化缓冲算子
GM(1,1)model
university
scientific research competitiveness
weakening buffer operator
