• DocumentCode
    2110317
  • Title

    Fuzzy Linear Regression Model

  • Author

    Zeng, Wenyi ; Zheng, Xin

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Beijing Normal Univ., Beijing
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    183
  • Lastpage
    187
  • Abstract
    To estimate the parameters of fuzzy linear regression model with crisp input and fuzzy output, we construct a method based on minimizing the least square errors, and propose some relative conclusions including normal equations, minimum solution, unique solution and their analytical expressions of fuzzy parameters. Finally, one numerical example is used to illustrate our proposed methods reasonable.
  • Keywords
    fuzzy set theory; least mean squares methods; parameter estimation; regression analysis; fuzzy linear regression model; least square errors; normal equations; Fuzzy least square; fuzzy; fuzzy parameter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering, 2008. ISISE '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-2727-4
  • Type

    conf

  • DOI
    10.1109/ISISE.2008.143
  • Filename
    4732196
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2110317