대한산업공학회지 (Journal of Korean Institute of Industrial Engineers)

  • 제39권5호
  • /
  • Pages.393-402
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  • 2013
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  • 1225-0988(pISSN)
  • /
  • 2234-6457(eISSN)
대한산업공학회 (Korean Institute of Industrial Engineers)
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마할라노비스-다구치 시스템과 로지스틱 회귀의 성능비교 : 사례연구

Performance Comparison of Mahalanobis-Taguchi System and Logistic Regression : A Case Study

  • 이승훈 (동의대학교 산업경영공학과) ;
  • 임근 (육군종합정비창 정비기술연구소)
  • Lee, Seung-Hoon (Department of Industrial and Management Engineering, Dong-Eui University) ;
  • Lim, Geun (Maintenance Technology Laboratory, Korea Military Consolidated Maintenance Depot)
  • 투고 : 2013.06.28
  • 심사 : 2013.09.02
  • 발행 : 2013.10.15
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초록

The Mahalanobis-Taguchi System (MTS) is a diagnostic and predictive method for multivariate data. In the MTS, the Mahalanobis space (MS) of reference group is obtained using the standardized variables of normal data. The Mahalanobis space can be used for multi-class classification. Once this MS is established, the useful set of variables is identified to assist in the model analysis or diagnosis using orthogonal arrays and signal-to-noise ratios. And other several techniques have already been used for classification, such as linear discriminant analysis and logistic regression, decision trees, neural networks, etc. The goal of this case study is to compare the ability of the Mahalanobis-Taguchi System and logistic regression using a data set.

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참고문헌

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