Analyzing students´data using a classification technique based on genetic algorithm and fuzzy logic

This paper presents a classification technique for analyzing students´ data based on genetic algorithm. The classification technique is modified using Fuzzy rules. The combination of genetic algorithm and fuzzy rules is employed to optimize the indices entropy and gini index. The solution obtained by this classification technique is an optimal way to classify the students´ database. The results of technique are presented in this paper.