• DocumentCode
    2446289
  • Title

    Fuzzy intervals as a basis for measurement theory

  • Author

    Solopchenko, Gennady N. ; Reznik, Leonid K. ; Johnson, W. Carroll

  • Author_Institution
    Dept. of Inf. Meas., State Tech. Univ., St. Petersburg, Russia
  • fYear
    1994
  • fDate
    18-21 Dec 1994
  • Firstpage
    405
  • Lastpage
    406
  • Abstract
    We describe the problem of error estimation for indirect measurements, one of the main problems of measurement theory. We show why statistical approach is not always adequate, why interval and fuzzy approaches have their own problem, and propose a new paradigm: using fuzzy intervals as a basis for measurement theory
  • Keywords
    fuzzy logic; measurement theory; error estimation; fuzzy intervals; indirect measurements; measurement theory; statistical approach; Calibration; Electric variables measurement; Error analysis; Instruments; Manufacturing; Mechanical variables measurement; Physics computing; Statistical distributions; Statistics; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society Biannual Conference, 1994. Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Workshop on Neural Networks and Fuzzy Logic,
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    0-7803-2125-1
  • Type

    conf

  • DOI
    10.1109/IJCF.1994.375079
  • Filename
    375079
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2446289