Fuzzy models for precision measurements Original Research Article

Engineering and scientific measurement results of continuous quantities are not precise numbers but more or less non-precise. Therefore so-called non-precise numbers are necessary to describe measurement results. Non-precise numbers are special fuzzy subsets of the set of real numbers. For vector quantities so-called fuzzy vectors are the best up to date model for measurement results of continuous vector quantities.