• DocumentCode
    1629681
  • Title

    Fuzzy linear regression analysis by symmetric triangular fuzzy number coefficients

  • Author

    Ghoshray, Sabyasachi

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA
  • fYear
    1997
  • Firstpage
    307
  • Lastpage
    313
  • Abstract
    Fuzzy regression analysis using fuzzy linear models with symmetric triangular fuzzy number coefficients has been formulated earlier. The goal of this regression is to find the output for all data sets. In this research, we have formulated a newer fuzzy linear regression model that uses symmetric triangular coefficient. The uniqueness of our model lies in the fact that this can be extended to use nonsymmetric fuzzy triangular coefficient that eradicates the drawbacks of existing fuzzy linear regression models
  • Keywords
    fuzzy systems; modelling; statistical analysis; fuzzy linear models; fuzzy linear regression analysis; nonsymmetric fuzzy triangular coefficient; symmetric triangular fuzzy number coefficients; Automatic logic units; Equations; Fuzzy sets; Fuzzy systems; Input variables; Linear regression; Linear systems; Mathematical model; Regression analysis; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Engineering Systems, 1997. INES '97. Proceedings., 1997 IEEE International Conference on
  • Conference_Location
    Budapest
  • Print_ISBN
    0-7803-3627-5
  • Type

    conf

  • DOI
    10.1109/INES.1997.632436
  • Filename
    632436