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http://dx.doi.org/10.5762/KAIS.2013.14.2.625

A Weighted Mean Squared Error Approach to Multiple Response Surface Optimization  

Jeong, In-Jun (Department of Management, Daegu University)
Cho, Hyun-Woo (Department of Industrial and Management Engineering, Daegu University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.14, no.2, 2013 , pp. 625-633 More about this Journal
Abstract
Multiple response surface optimization (MRSO) aims at finding a setting of input variables which simultaneously optimizes multiple responses. The minimization of mean squared error (MSE), which consists of the squared bias and variance terms, is an effective way to consider the location and dispersion effects of the responses in MRSO. This approach basically assumes that both the terms have an equal weight. However, they need to be weighted differently depending on a problem situation, for example, in case that they are not of the same importance. This paper proposes to use the weighted MSE (WMSE) criterion instead of the MSE criterion in MRSO to consider an unequal weight situation.
Keywords
Multiple response surface optimization; Squared bias; Variance; Weighted mean squared error;
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Times Cited By KSCI : 2  (Citation Analysis)
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