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Optimization of Multi-Criteria Experiments with Fuzzy Results

Fan YANGSu WU( )Tilo PfeiferKlaus Hense
Department of Industrial Engineering, Tsinghua University, Beijing 100084, China
WZL, RWTH Aachen University, Aachen 52074, Germany
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Abstract

The classical design of experiments (DoE) method can optimize systems with one technical response and multiple inputs. The objective of this study is to optimize multiple technical responses at the same time by integrating fuzzy logic transformation into a DoE system. The transformation from technical responses to the individual fuzzy responses and the overall fuzzy response are first defined, and the fuzzy response system is established. The method used to optimize the overall fuzzy response is introduced and discussed. The results show that the established fuzzy response system can optimize systems with multiple technical responses and multiple inputs.

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Tsinghua Science and Technology
Pages 686-692

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Cite this article:
YANG F, WU S, Pfeifer T, et al. Optimization of Multi-Criteria Experiments with Fuzzy Results. Tsinghua Science and Technology, 2006, 11(6): 686-692. https://doi.org/10.1016/S1007-0214(06)70251-6

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Received: 25 May 2005
Revised: 15 July 2005
Published: 01 December 2006
© Tsinghua University Press 2006