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 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.
K. Paryani et al., "Applying the Mahalanobis-Taguchi System to Vehicle Ride," Proceedings of IMECE2006 2006 ASME International Mechanical Engineering Congress and Exposition, American Society of Mechanical Engineers (ASME), Nov 2006.
Engineering Management and Systems Engineering
Keywords and Phrases
Mahalanobis-Taguchi System; Data Set Forecasting; Diagnostic Methods
Article - Conference proceedings
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