Data Classification Using the Mahalanobis-Taguchi System

MTS在分類問題之應用

10.29977/JCIIE.200411.0010

王慧君(Huei-Chun Wang)

MTS ； 鑑別分析 ； 逐步鑑別分析 ； 直交表 ； 訊號雜音比 ； MTS ； Discriminant analysis ； Stepwise discriminant analysis ； Orthogonal arrays ； Signal-to-noise ratio

工業工程學刊

21卷6期（2004 / 11 / 01）

606 - 618

英文

MTS(Mahalanobis-Taguchi System)是由田口博士所發展出的一種型態辨識技術，這個技術的主要目的是透過建構一多變量量表對多維資料進行較佳的預測。本研究中，利用分析兩組資料來說明MTS的有效性。執行的結果發現MTS的分類結果較傳統鑑別分析佳。除此之外，本文亦探討有關應用MTS之優缺點。

The Mahalanobis-Taguchi System(MTS) is a pattern information technology developed by DR.Taguchi. This technology is aimed at providing a better prediction for multivariate data through the construction of a multivariate measurement scale. In this study, two sets of data are analyzed to demonstrate the effectiveness of the MTS. Implementation results reveal that the MTS outperforms traditional discriminant analysis methods. In addition, several important issues regarding the MTS are summarized in the conclusion section.

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