Fuzzy clustering techniques are used to solve data clustering problems by using partitioning approaches. K-Means and C-Means Clustering are two novel techniques, which are to be used for determining student’s performance evaluation. The Bayesian method is also introduced for the same. For obtaining, a function of distance between marks and clusters, developed fuzzy rules from fuzzy membership values. These Clusters will regulate the system of fuzzy inference input and output space of the division of fuzzy inference system and also regulate the relative member of functions. This paper applies a new kind of approach using fuzzy clustering and the research paper tests the performance of these techniques and finds the better result for the student’s better performance.