Priority estimation in the AHP through maximization of correlation coefficient

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	Priority estimation in the AHP through maximization of correlation coefficient
	Wang, Ying-Ming ; Parkan, Celik ; Luo, Ying ; Wang YM(王艺明)
刊名	http://dx.doi.org/10.1016/j.apm.2006.10.020
	2007-12
关键词	ANALYTIC HIERARCHY PROCESS PROGRAMMING METHOD VECTORS REGRESSION WEIGHTS RATIOS
英文摘要	This paper proposes a correlation coefficient maximization approach (CCMA) for estimating priorities from a pairwise comparison matrix. The priorities are supposed to be as highly correlated with each column of a pairwise comparison matrix as possible. Such priorities are not unique and can be determined in different ways. Two optimization models are therefore suggested for determining further the priorities, one of which leads to an analytic solution. Theorems about the CCMA are developed and its potential applications are illustrated with two numerical examples. (c) 2006 Elsevier Inc. All rights reserved.
语种	英语
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/64875]
专题	经济学院－已发表论文
推荐引用方式 GB/T 7714	Wang, Ying-Ming,Parkan, Celik,Luo, Ying,et al. Priority estimation in the AHP through maximization of correlation coefficient[J]. http://dx.doi.org/10.1016/j.apm.2006.10.020,2007.
APA	Wang, Ying-Ming,Parkan, Celik,Luo, Ying,&王艺明.(2007).Priority estimation in the AHP through maximization of correlation coefficient.http://dx.doi.org/10.1016/j.apm.2006.10.020.
MLA	Wang, Ying-Ming,et al."Priority estimation in the AHP through maximization of correlation coefficient".http://dx.doi.org/10.1016/j.apm.2006.10.020 (2007).