Fuzzy variables as a tool for expressing error characteristics in data processing

The main application of fuzzy variables theory is to take into account badly formalized information about uncertainty sources. In this paper, the results of another application are presented: to take into account well-formalized information about errors that is classical for metrology. The principal possibility of error characteristics representation as fuzzy variables that is compatible with metrological norms and standards has been shown.