Informatics Publishing Limited

Swati Jain ¹, Vikas Kumar Jain ², Sunil Kumar Kashyap ³, Sanjay Kumar ¹

Affiliations
1 Department of Computer Science, Kalinga University, Raipur, Chhattisgarh, 492101, IN
2 Department of Chemistry, Government Engineering College, Raipur, Chhattisgarh, 492015, IN
3 Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology University, Vellore, Tamil Nadu, 632014, IN

Abstract

The data of student's academic performance is studied as the application of fuzzy-genetic(FG) approach. Discrete and continuous data interpretation are overviewed by the linguistic classes and then its representation over the fuzzy-genetic algorithm in this chapter. This dual method has the advantages are noticed as classvariable transformation, language-number generalisation and characteristic-operation simulation. Fuzzy-genetic algorithm is a tool to study the data over the representation of randomness to weight. Hence the data represents as the discrete classes by itself as the self-organized operator under the fuzzy-genetic technique.

Keywords

Data Analysis, FG.

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Swati Jain ¹, Vikas Kumar Jain ², Sunil Kumar Kashyap ³, Sanjay Kumar ¹

Affiliations
1 Department of Computer Science, Kalinga University, Raipur, Chhattisgarh, 492101, IN
2 Department of Chemistry, Government Engineering College, Raipur, Chhattisgarh, 492015, IN
3 Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology University, Vellore, Tamil Nadu, 632014, IN

Abstract

The Academic Performance of the Students interacts with the Data Management System. The performances of the student are recorded under some classes. These classes are well defined under some significant characteristics. There is various hidden information which lies with general set arrangements. The fuzzy set reforms this into membership function and fit into certain set theoretic representation. This paper proposes a new cluster analysis technique based on Euclidean Distance Metric (EDM) or L₂ Metric. The advantages of this method are efficient and simple.

Keywords

EDM, L₂Metric.

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