• DocumentCode
    2072085
  • Title

    An automobile seat comfort evaluation method based on fuzzy support vector machine

  • Author

    Luo, Shiwu

  • Author_Institution
    Ind. Design Dept., Jiangxi Univ. of Finance&Econ., Nanchang, China
  • fYear
    2008
  • fDate
    22-25 Nov. 2008
  • Firstpage
    206
  • Lastpage
    208
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/CAIDCD.2008.4730552
  • Filename
    4730552
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2072085