• DocumentCode
    325234
  • Title

    Fuzzy regression: an evolutionary algorithm approach

  • Author

    Feuring, Thomas ; Buckley, James J. ; Hayashi, Yoichi

  • Author_Institution
    Munster Univ., Germany
  • Volume
    1
  • fYear
    1998
  • fDate
    4-9 May 1998
  • Firstpage
    704
  • Abstract
    Given some data (X¯i, Z¯i), 1<i⩽p, where X¯i and Z¯i are fuzzy numbers, our evolutionary algorithm package finds the best fuzzy function (from linear, polynomial of degree ⩽Δ, exponential, logarithmic) that fits the data. Several tests of our fuzzy regression package are given
  • Keywords
    fuzzy set theory; genetic algorithms; mathematics computing; number theory; polynomials; statistical analysis; evolutionary algorithm; fuzzy function; fuzzy numbers; fuzzy regression; fuzzy set theory; polynomials; Arithmetic; Evolutionary computation; Fuzzy neural networks; Linear regression; Neural networks; Packaging; Polynomials; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1098-7584
  • Print_ISBN
    0-7803-4863-X
  • Type

    conf

  • DOI
    10.1109/FUZZY.1998.687574
  • Filename
    687574
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=325234