A new approach for data classification using Fuzzy logic

Data mining is a process of discovering useful patterns from a large set of data. It is mostly used in large information processing applications. As we know, classification technique of data mining classifies the data into a set of classes based on some attributes for further processing. We have developed a new algorithm to handle the classification by using fuzzy rules on the real world data set. Our proposed algorithm caters in handling admission of students to various universities by classifying them into three clusters- admitted, rejected and those who probably would get the admission. To handle the third cluster, fuzzy logic based approach is appropriate. Our algorithm makes prediction for getting admission on the basis of ranking and fuzzy rules generated from the numerical data and gives output in linguistic terms. We have compared our algorithm with the state of art algorithms- KNN, Fuzzy C- means etc. Our algorithm has proved to be more efficient than others in terms of performance.