Optimization of Multi-Criteria Experiments with Fuzzy Results

被引：1

作者：

杨帆 ^{[1
]}

吴甦 ^{[1
]}

Tilo Pfeifer ^{[2
]}

Klaus Hense ^{[2
]}

机构：

[1] Department of Industrial Engineering,Tsinghua University

[2] WZL,RWTH Aachen University,Aachen ,Germany

来源：

TsinghuaScienceandTechnology | 2006年 / 06期

关键词：

design of experiments; fuzzy logic; fuzzy response; multi-criteria system; overall quality;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The classical design of experiments (DoE) method can optimize systems with one technical re- sponse 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.

引用

页码：686 / 692

页数：7

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