摘要
针对组合预测过程中的多误差统计向量的优劣评价问题,提出了一种优于个量相同条件下的多维度评价向量的排序模型,设定优劣排序的相关规则,根据规则给出整体优于函数,并对于优于个量相等优于程度不同的情况给出了模型的一致性证明.
A sequencing model of the multi-dimensional evaluation vectors under the certain occasion is proposed in this article, which corresponding to the problem of sorting vectors composed of error items during the process of combination forecasting. Some rules of sorting as well as the global preceding function according to these rules are all set. The consistency of the sequencing model under the condition of equal preceding number and different preceding degree is proved.
出处
《北京交通大学学报》
EI
CAS
CSCD
北大核心
2007年第3期35-37,49,共4页
JOURNAL OF BEIJING JIAOTONG UNIVERSITY
基金
北京交通大学校科研基金资助项目(TJ06016)
关键词
排序
多维度评价向量
整体优于函数
一致性
sequencing
multi-dimensional evaluation vectors
global preceding function
consistency
