Fuzzy Admissions Model

Some have criticized the SAT based on its inability to predict success of freshman performance, as measured by freshman grade point average. Contrary to this view, this paper shows that the inability of SAT data alone to predict freshman performance as measured by freshman grade point average might be the result of the efficient use of the SAT data to place entering students in the appropriate freshman level mathematics and English courses. This paper also suggests that a nonlinear predictive model based on fuzzy logic techniques might be more accurate than the linear regression model used as the basis of the criticism.