Abstract
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. Copyright © 2007 SAE International.
Recommended Citation
E. A. Cudney et al., "A Comparison of Techniques to Forecast Consumer Satisfaction for Vehicle Ride," SAE Technical Papers, SAE International, Jan 2007.
The definitive version is available at https://doi.org/10.4271/2007-01-1537
Department(s)
Engineering Management and Systems Engineering
Second Department
Mathematics and Statistics
International Standard Serial Number (ISSN)
2688-3627; 0148-7191
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 SAE International, All rights reserved.
Publication Date
01 Jan 2007
Included in
Mathematics Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Statistics and Probability Commons
