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

被引：0

作者：

Khan, Saddam ^{[1
]}

机构：

[1] Galgotias Univ, SCSE Dept, Greater Noida, India

来源：

2015 INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION & AUTOMATION (ICCCA) | 2015年

关键词：

Classification; Genetic algorithm; Fuzzy rules; Entropy; Gini index;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：227 / 232

页数：6

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