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Optimization of Multi-Criteria Experiments with Fuzzy Results
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.
作 者： YANG Fan WU Su Tilo Pfeifer Klaus Hense 作者單位： YANG Fan,WU Su(Department of Industrial Engineering, Tsinghua University, Beijing 100084, China)Tilo Pfeifer,Klaus Hense(WZL, RWTH Aachen University, Aachen 52074, Germany)
刊 名： 清華大學(xué)學(xué)報(bào)（英文版） EI 英文刊名： TSINGHUA SCIENCE AND TECHNOLOGY 年，卷(期)： 2006 11(6) 分類號： O4 關(guān)鍵詞： design of experiments fuzzy logic fuzzy response multi-criteria system overall quality【Optimization of Multi-Criteria Exper】相關(guān)文章：
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