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The recently developed Radial Basis Function High-Dimensional Model Representation (RBF-HDMR) yields qualitative information about which variables are correlated. Such qualitative information is only applicable for a few problems that can be completely decomposed. This work develops a strategy to quantify the variable correlations so that decomposition can be fully supported for a wider range of problems. A simple optimization scheme is also proposed to systematically solve the decomposeddoi:10.1080/0305215x.2014.895338 fatcat:rxunfqgxzbftdjdoaraaihxviy