文章基本信息

标题：Optimization of multi-response dynamic systems using principal component analysis (PCA)-based utility theory approach
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作者：Gauri, S. ; Gauri, S.
期刊名称：International Journal of Industrial Engineering Computations
印刷版ISSN：1923-2926
电子版ISSN：1923-2934
出版年度：2014
卷号：5
期号：1
页码：101-114
DOI：10.5267/j.ijiec.2013.09.004
语种：English
出版社：Growing Science Publishing Company
摘要：Optimization of a multi-response dynamic system aims at finding out a setting combination of input controllable factors that would result in optimum values for all response variables at all signal levels. In real life situation, often the multiple responses are found to be correlated. The main advantage of PCA-based approaches is that it takes into account the correlation among the multiple responses. Two PCA-based approaches that are commonly used for optimization of multiple responses in dynamic system are PCA-based technique for order preference by similarity to ideal solution (TOPSIS) and PCA-based multiple criteria evaluation of the grey relational model (MCE-GRM). This paper presents a new PCA-based approach, called PCA-based utility theory (UT) approach, for optimization of multiple dynamic responses and compares its optimization performance with other existing PCA-based approaches. The results show that the proposed PCA-based UT method is superior to the other PCA-based approaches.
关键词：Dynamic system; Multiple responses; Optimization; Principal component analysis; Utility theory