p.o adebayo - Federal Polytechnic Nasarawa, Nasarawa State, Nigeria.Corresponding author; Federal Polytechnic Nasarawa, Nasarawa State, Nigeria.
w.b yahya - Department of Statistics, University of Ilorin, P.M.B. ۱۵۱۵, Ilorin, Nigeria.
e.e akpan - Federal Polytechnic Nasarawa, Nasarawa State, Nigeria.
m.k garba - Department of Statistics, University of Ilorin, P.M.B. ۱۵۱۵, Ilorin, Nigeria.

This paper depicts adaptation of expert systems technology using fuzzy logic to handle qualitative and uncertain facts in the decision making process. Over the years, performance evaluations of students are based on qualitative facts, which are now becoming numerically inestimable as a result of uncertainty factors. Through fuzzy logic the qualitative terms like; low, medium and high; low, moderate and high were numerically weighted during the final decision making on students’ performance. The key parameters were given weights according to their priorities through mapping of numeric results from uncertain knowledge. Mathematical formulae were applied to calculate the numeric results at the final stage. In this way, the developed fuzzy expert system was demonstrated to be an effective tool for evaluating the performances of candidates seeking for admission into Nigeria tertiary institutions. This may also be adopted as a useful tool by stakeholders in government and Industry to predict the standard and long term expectations in the nation-building enterprise.

Fuzzy logic , Smart system model , Utme , Post-utme , Utme , ‘O’lpoints