• DocumentCode
    355804
  • Title

    Application of experimental design with fuzzy input information

  • Author

    Manusov, V.S. ; Mogilenko, A.V.

  • Author_Institution
    Novosibirsk State Tech. Univ., Russia
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    256
  • Abstract
    Fuzzy regression equations can be obtained on the basis of experimental design methods, whose basic purpose is the evaluation of mathematical models of research object parameters. It is supposed that the type of a mathematical model is set. If the number of tests exceeds the number of evaluated regression coefficients, even at rather small amount of the factors, it is possible to make both full factorial design and fractional factorial design
  • Keywords
    design of experiments; fuzzy logic; statistical analysis; experimental design application; fractional factorial design; full factorial design; fuzzy input information; fuzzy regression equations; mathematical models; regression coefficients; research object parameters; tests; Design for experiments; Electronic mail; Equations; Fuzzy sets; Information analysis; Mathematical model; Power system analysis computing; Power system modeling; Regression analysis; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Science and Technology, 2000. KORUS 2000. Proceedings. The 4th Korea-Russia International Symposium on
  • Conference_Location
    Ulsan
  • Print_ISBN
    0-7803-6486-4
  • Type

    conf

  • DOI
    10.1109/KORUS.2000.866037
  • Filename
    866037
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=355804