Evaluating an adaptive One-Factor-At-a-Time search procedure within the Mahalanobis-Taguchi system

被引：12
作者：
Foster, Chad R. [1 ]
Jugulum, Rajesh [2 ]
Freay, Daniel D. [3 ]
机构：
[1] Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
[2] GWIM Q and P, Bank of America, Boston, MA 02110
[3] Department of Mechanical Engineering, Engineering Systems Division, Massachusetts Institute of Technology, Cambridge, MA 02139
来源：
International Journal of Industrial and Systems Engineering | 2009年 / 4卷 / 06期
关键词：
Aadaptive one-factor-at-a-time; aOFAT; Classification system; Eexperimentation; Mahalanobis-Taguchi system; MTS;
D O I：
10.1504/IJISE.2009.026766
中图分类号：
TN911 [通信理论];
学科分类号：
081002 ;
摘要：
This paper proposes and evaluates an alternative search procedure to be used within the framework of the Mahalanobis-Taguchi System (MTS). An adaptive One-Factor-At-a-Time (aOFAT) search is employed wherein features are individually removed or added to a classification system. Features are retained only if they contribute positively to the signal to noise ratio. This alternative search procedure is compared with orthogonal arrays and forward selection by means of two case studies. aOFAT experimentation provided greater improvements on the median with the same or fewer design alternatives being explored and also exhibited good ability to generalise to new instances after training. Two mechanisms related to interaction size and synergy help to explain the large benefits of aOFAT search observed in these case studies. Copyright © 2009, Inderscience Publishers.
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收藏
页码：600 / 614
页数：14
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