4,550 research outputs found

    Lin, KJ

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    Optimization of multiple responses considering both location and dispersion effects

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    An integrated modeling approach to simultaneously optimizing both the location and dispersion effects of multiple responses is proposed. The proposed approach aims to identify the setting of input variables to maximize the overall minimal satisfaction level with respect to both location and dispersion of all the responses. The proposed approach overcomes the common limitation of the existing multiresponse approaches, which typically ignore the dispersion effect of the responses. Several possible variations of the proposed model are also discussed. Properties of the proposed approach are revealed via examples. (c) 2004 Elsevier B.V. All rights reserved.X1166sciescopu

    Dual response surface optimization: A fuzzy modeling approach

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    In modern quality engineering, dual response surface methodology is a powerful tool. In this paper, we introduce a fuzzy modeling approach to optimize the dual response system. We demonstrate our approach in two examples and show the advantages of our method by comparing it with existing methods.X11104sciescopu
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