Title :
An automobile seat comfort evaluation method based on fuzzy support vector machine
Author_Institution :
Ind. Design Dept., Jiangxi Univ. of Finance&Econ., Nanchang, China
Abstract :
The objective of this study was the application of driving comfort for the prediction of the driver¿ seat. At the first, triangular type membership function was introduced to depict the driver¿s feeling of comfort for the uncertain meaning of ¿comfort¿, and then a model was built to assess the relation between design parameters and comfort assessment based on Fuzzy SVM. This method can also be used to solve other relative problems.
Keywords :
automobile industry; automotive components; fuzzy systems; seats; support vector machines; automobile seat comfort evaluation method; comfort assessment; driving comfort; fuzzy support vector machine; triangular type membership function; Automobiles; Automotive engineering; Economic forecasting; Educational institutions; Error correction; Industrial economics; Kernel; Predictive models; Support vector machine classification; Support vector machines; Automobile Seat; Comfort; Fuzzy SVM;
Conference_Titel :
Computer-Aided Industrial Design and Conceptual Design, 2008. CAID/CD 2008. 9th International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-3290-5
Electronic_ISBN :
978-1-4244-3291-2
DOI :
10.1109/CAIDCD.2008.4730552
