Applying the Mahalanobis-Taguchi System to Vehicle Ride

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 differentpatterns that can be identified and analyzed with respect to a base or reference group. themahalanobis 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 mdvalues. mts identifies a set of useful variables from the complete data set with equivalentcorrelation and considerably less time and data. this paper presents the application of themahalanobis-taguchi system and its application to identify a reduced set of useful variables inmultidimensional systems.