In recent years, the concept of fuzzy logic techniques is applied for evaluating performance in the teaching-learning process. In this paper, we have proposed a novel fuzzy inference model for students’ academic performance evaluation for multi-input variables. The Triangular membership function, Trapezoidal membership function and Gaussian membership function are used to obtain the degree of satisfaction of each student evaluation based on marks. The proposed model applied fuzzification, fuzzy inference and defuzzification taking into consideration the difficulty and intricacy of the problem. The transparency, objectivity and easy execution of the proposed fuzzy inference model provide a useful way to evaluate students’ achievement more reasonably and impartially. Experimental results are compared for three membership functions and also with the MATLAB solution. The results of MATLAB are proved the validity of the proposed techniques. We have also compared the results with the existing statistical method.