%0 Journal Article %T An Evaluation of Mahalanobis-Taguchi System and Neural Network for Multivariate Pattern Recognition %J Journal of Industrial and Systems Engineering %I Iranian Institute of Industrial Engineering %Z 1735-8272 %A Cudney, Elizabeth A. %A Hong, Jungeui %A Jugulum, Rajesh %A Paryani, Kioumars %A Ragsdell, Kenneth M. %A Taguchi, Genichi %D 2007 %\ 09/01/2007 %V 1 %N 2 %P 139-150 %! An Evaluation of Mahalanobis-Taguchi System and Neural Network for Multivariate Pattern Recognition %K Mahalanobis-Taguchi System %K Mahalanobis distance %K Neural Network %K Pattern recognition %K Orthogonal array %K Signal-to-noise ratio %K Mahalanobis space (reference group) %R %X The Mahalanobis-Taguchi System is a diagnosis and predictive method for analyzing patterns in multivariate cases. The goal of this study is to compare the ability of the Mahalanobis- Taguchi System and a neural-network to discriminate using small data sets. We examine the discriminant ability as a function of data set size using an application area where reliable data is publicly available. The study uses the Wisconsin Breast Cancer study with nine attributes and one class. %U https://www.jise.ir/article_3924_5f31f4ac2ae98ac31c98b527e637819e.pdf