Relative contribution ratio: A quantitative metrics for multi-parameter analysis

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	Relative contribution ratio: A quantitative metrics for multi-parameter analysis
	Luo CT(罗长童); Jiang ZL(姜宗林); Wang C(王春); Hu ZM(胡宗民)
刊名	Cogent Mathematics
	2015-07
卷号	2 期号:1 页码:1068979
ISSN号	2331-1835
中文摘要	In many applications, the objective function is determined by several parameters simultaneously. Properly assessing the relative contribution of each parameter can give the decision maker a better understanding of the problem. However, widely used assessing methods are qualitative or semi-quantitative. In this paper, a new concept, relative contribution ratio (RCR), is proposed. The concept follows the idea of proof by contradiction, and estimates the impact of absence of each parameter, based on the fact that the absence of a parameter with more contribution will bring more divergence. Based on surrogate models, a statistical method for calculating RCR is also presented. Numerical results indicate that RCR is capable of analyzing multi-parameter problems, regardless of whether they are linear or nonlinear.
语种	英语
内容类型	期刊论文
源URL	[http://dspace.imech.ac.cn/handle/311007/58344]
专题	力学研究所_高温气体动力学国家重点实验室
推荐引用方式 GB/T 7714	Luo CT,Jiang ZL,Wang C,et al. Relative contribution ratio: A quantitative metrics for multi-parameter analysis[J]. Cogent Mathematics,2015,2(1):1068979.
APA	Luo CT,Jiang ZL,Wang C,&Hu ZM.(2015).Relative contribution ratio: A quantitative metrics for multi-parameter analysis.Cogent Mathematics,2(1),1068979.
MLA	Luo CT,et al."Relative contribution ratio: A quantitative metrics for multi-parameter analysis".Cogent Mathematics 2.1(2015):1068979.