Applying the Mahalanobis-Taguchi System to Vehicle Ride
Abstract
The Mahalanobis Taguchi System is a diagnosis and forecasting method for multivariate data. Mahalanobis distance is a measure based on correlations between the variables and different patterns that can be identified and analyzed with respect to a base or reference group. the Mahalanobis-Taguchi System is of interest because of its reported accuracy in forecasting small, correlated data sets. This is the type of data that is encountered with consumer vehicle ratings. MTS enables a reduction in dimensionality and the ability to develop a scale based on MD values. MTS identifies a set of useful variables from the complete data set with equivalent correlation and considerably less time and data. This paper presents the application of the Mahalanobis-Taguchi System and its application to identify a reduced set of useful variables in multidimensional systems. Copyright © 2006 by ASME.
Recommended Citation
E. A. Cudney et al., "Applying the Mahalanobis-Taguchi System to Vehicle Ride," American Society of Mechanical Engineers, Design Engineering Division (Publication) DE, American Society of Mechanical Engineers, Jan 2006.
The definitive version is available at https://doi.org/10.1115/IMECE2006-13161
Department(s)
Engineering Management and Systems Engineering
International Standard Book Number (ISBN)
978-079183790-0
International Standard Serial Number (ISSN)
1071-6947
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 American Society of Mechanical Engineers, All rights reserved.
Publication Date
01 Jan 2006
