• DocumentCode
    2827447
  • Title

    Testing for Serial Independence of the Residuals in the Framework of Fuzzy Rule-Based Time Series Modeling

  • Author

    Aznarte M, J.L. ; Arauzo, Antonio ; Benitez Sanchez, J.M.

  • Author_Institution
    Centre for Energy & Processes, Ecole des Mines de Paris, Sophia Antipolis, France
  • fYear
    2009
  • fDate
    Nov. 30 2009-Dec. 2 2009
  • Firstpage
    1383
  • Lastpage
    1387
  • Abstract
    In this paper, we propose a new diagnostic checking tool for fuzzy rule-based modelling of time series. Through the study of the residuals in the Lagrange multiplier testing framework we devise a hypothesis test which allows us to determine if there is some left autocorrelation in the error series. This is an important step towards a statistically sound modelling strategy for fuzzy rule-based models.
  • Keywords
    fuzzy set theory; statistical analysis; time series; Lagrange multiplier testing; diagnostic checking tool; fuzzy rule-based time series modeling; serial independence testing; statistically sound modelling strategy; Autocorrelation; Computer science; Fuzzy systems; Intelligent systems; Lagrangian functions; Predictive models; Project engineering; Statistics; System testing; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2009. ISDA '09. Ninth International Conference on
  • Conference_Location
    Pisa
  • Print_ISBN
    978-1-4244-4735-0
  • Electronic_ISBN
    978-0-7695-3872-3
  • Type

    conf

  • DOI
    10.1109/ISDA.2009.249
  • Filename
    5363931