This paper presents a comparison of methods for the identification of a reduced set of useful variables using a multidimensional system. The Mahalanobis-Taguchi System and a standard statistical technique are used reduce the dimensionality of vehicle ride based on consumer satisfaction ratings. The Mahalanobis-Taguchi System and cluster analysis are applied to vehicle ride. The research considers 67 vehicle data sets for the 6 vehicle ride parameters. This paper applies the Mahalanobis-Taguchi System to forecast consumer satisfaction and provides a comparison of results with those obtained from a standard statistical approach to the problem.
A Comparison of Techniques to Forecast Consumer Satisfaction for Vehicle Ride
Sae Technical Papers
SAE World Congress & Exhibition ; 2007
2007-04-16
Conference paper
English
A comparison of techniques to forecast consumer satisfaction for vehicle ride
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