摘要
针对灰色理论既有成果尚无法对具有主观取值倾向的离散灰数序列建立预测模型的问题,通过构建标准离散灰数"核"序列、"灰单元格"面积序列以及元素"取值可能性"序列的灰色预测模型群,实现离散灰数及其元素取值可能性大小的预测,从而建立具有主观取值倾向的离散灰数预测模型,将所提出的模型应用于空气监测点空气污染指数(API)的模拟及预测,取得了较好的效果,对拓展灰色预测模型的应用范围具有积极意义。
The existing achievements of grey theory still cannot build a prediction model of discrete grey number with subjective valued orientation. Therefore, a group of grey forecasting model is built based on the sequences of "core", "area of grey Cell grid" and "possible values" of standard discrete grey numbers, which realizes the prediction of discrete grey numbers and their possible values, and then the prediction model of discrete grey number with subjective valued orientation is built. The model is employed to simulate and forecast the API (air pollution index) of air monitoring point, and a fine result is obtained, which has a vital significance for extending the applied scope of grey prediction model.
出处
《控制与决策》
EI
CSCD
北大核心
2012年第9期1359-1364,共6页
Control and Decision
基金
国家自然科学基金项目(71271226,70972143,71101159)
重庆市自然科学基金项目(cstc2012jjA1211,CSTC2010BB2262)
教育部人文社会科学基金项目(11YJC630273,11YJC630032,12YJC630140,)
重庆市教委人文社会科学研究重点项目(11SKH03)
重庆市教委科学技术研究项目(KJ120706)
关键词
灰色系统理论
离散灰数预测模型
主观取值倾向
空气监测点
空气污染指数预测
grey system theory prediction model of discrete grey number
subjective valued orientation
air monitoringpoint prediction of API