Academic Data Modelling based on Fuzzy-Genetic Algorithm

Swati Jain; Vikas Kumar Jain; Sunil Kumar Kashyap; Sanjay Kumar

Academic Data Modelling based on Fuzzy-Genetic Algorithm

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, India
2 Department of Chemistry, Government Engineering College, Raipur, Chhattisgarh, 492015, India
3 Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology University, Vellore, Tamil Nadu, 632014, India

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.