The increasing demand for education in Nigeria especially tertiary education has been an issue in recent times. Governmentowned tertiary institutions as well as those privately owned do not possess the capacity and manpower needed to accommodate the growing number of young school leavers hoping to secure admission into any of these tertiary institutions.

Huang (2013) posits that predicting and evaluating the academic performances of students has for a long time now been an interesting and important area of research in many academic disciplines. Evaluating students’ academic performances or achievement using the cumulative grade point average (CGPA) as a pointer is a typical practice in every tertiary academic environment. A high percentage of fresh students usually find themselves below the minimum grade point required at the end of their first year.

Lee (2008) pointed out that having a thorough understanding of a student’s prior achievement or knowledge is important and will go a long way in helping academic planners predict the future performance of such student.

Oladipupo (2012) stressed the importance of predicting and evaluating the academic  performances of students. In his survey carried out in a privately owned university in Nigeria, the percentages of students below the 2.5 CGPA at the end of the 2007/2008, 2008/2009 and 2009/2010 academic sessions was alarming. This percentage gives a clear view of the declining nature of students’ academic performances in our tertiary institutions.

Thus predicting and evaluating students’ performances cannot be over-emphasised as it is a useful tool for academic planners, educators and students alike, as it gives an actual understanding of students’ weaknesses and proffer solutions.

Fuzzy logic is an extended branch of Boolean logic and a unique form of logic that deals with reasoning which is approximate other than fixed or exact and recognizes more than the simple true/false values. It is also a way of knowledge representation that is understandable to a computer. Fuzzy logic is a special type of logic in which a statement can be represented with degrees of truthfulness or falsehood. Zadeh (1996) describe fuzzy logic as computing with words in a way that words or linguistic variables are used to replace numeric values for reasoning and computing.

Zadeh (1996) also buttressed the importance of fuzzy logic and its usage when the data available is uncertain or imprecise to warrant the use of numbers or exact values and also when imprecision can be tolerated. Fuzzy logic due to its ability to handle imprecision and uncertainty has found its application in numerous fields of study.

The application of fuzzy logic in predicting and evaluating students’ academic performances gives effective and attainable solutions as the knowledge of fuzzy logic is suitably required when human evaluation is needed. Furthermore, researches show that fuzzy logic is a more essential technique to handle imprecision and uncertainty given that evaluating the prior knowledge or past achievements of students with the aim of discovering the risk of students’ failure involves dealing with uncertain and imprecise data.

Therefore, this project aims at implementing fuzzy logic in predicting students academic performances as the fuzzy approach is likely to offer an alternative way of handling imprecise data, especially in decision making.