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DATA classification using the mahalanobis—taguchi system

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)606-618
Number of pages13
JournalJournal of the Chinese Institute of Industrial Engineers
Volume21
Issue number6
DOIs
StatePublished - 2004

Keywords

  • Discriminant analysis
  • MTS
  • Orthogonal arrays
  • Signal-to-noise ratio
  • Stepwise discriminant analysis

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