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
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;
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
DOI :
10.1109/IJCF.1994.375079
