摘要
针对传统多变量灰色模型预测城市用水量存在信息利用不充分的缺陷,依据灰色系统理论中的新信息优先原理,提出一种改进的多变量灰色模型IMGM(1,n),并在灰色关联分析法确定影响城市用水量的主要因素基础上,将IMGM(1,n)应用于深圳市用水量预测,获得了较好的效果,具有可行性和实用性。
Aiming at the drawbacks that the traditional multivariable grey model can not use the new information adequately when it was applied to predict the urban water consumption,an improved multivariable grey model（IMGM（1,n）） is put forward based on the new information priority principle in the grey system theory.The grey correlative analysis method is used to determine the main influencing factors of the urban water consumption.On that basis,the IMGM（1,n） is applied to predict the water consumption in Shenzhen city.The application result is good,which proves the feasibility and practicability of IMGM（1,n）.
出处
《水电能源科学》
北大核心
2013年第2期27-29,共3页
Water Resources and Power
基金
国家水体污染控制与治理科技重大专项基金资助项目(2009ZX07423-001)
国家自然科学基金资助项目(5117906)
中央高校基本科研业务费专项基金资助项目(10QX43
11QX52
11QX53
12QX20)
关键词
改进多变量灰色模型
用水量预测
灰色关联分析法
深圳市
improved multivariable grey model
water consumption prediction
grey correlative analysis method
Shenzhen city
