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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)
Source PublicationCogent Mathematics
2015-07
Volume2Issue:1Pages:1068979
ISSN2331-1835
AbstractIn 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.
DOI10.1080/23311835.2015.1068979
Language英语
DepartmentLHD激波与爆轰物理
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Document Type期刊论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/58344
Collection高温气体动力学国家重点实验室
Recommended Citation
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.
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