• DocumentCode
    478692
  • Title

    Fuzzy least absolutes regression

  • Author

    Taheri, S.M. ; Kelkinnama, M.

  • Author_Institution
    Dept. of Math. Sci., Isfahan Univ. of Technol., Isfahan
  • Volume
    2
  • fYear
    2008
  • fDate
    6-8 Sept. 2008
  • Firstpage
    20394
  • Lastpage
    21490
  • Abstract
    Fuzzy linear regression model with crisp input, fuzzy output is investigated. A least absolute deviation approach, by introducing and applying a new metric on the space of fuzzy numbers, is developed. In addition, a new capability index is proposed to evaluate the proposed model.
  • Keywords
    fuzzy set theory; regression analysis; capability index; fuzzy linear regression model; fuzzy numbers; fuzzy output; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Humans; Intelligent systems; Least squares methods; Linear regression; Parameter estimation; Regression analysis; Robustness; Capability index; Fuzzy number; Fuzzy regression; least absolute deviations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2008. IS '08. 4th International IEEE Conference
  • Conference_Location
    Varna
  • Print_ISBN
    978-1-4244-1739-1
  • Electronic_ISBN
    978-1-4244-1740-7
  • Type

    conf

  • DOI
    10.1109/IS.2008.4670509
  • Filename
    4670509