Five algorithms for data analysis are evaluated and compared with fuzz
y regresion for their a to resist abilities outliers in small data set
s. ?These, methode included ordinary least squares regression, median-
based robust regression and an iteratively reweighed least squares met
hod Based on these as well as other resuts, the conclusion is that the
fuzzy regression approach is best suited for the calibration in analy
tical chemistry.