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Research Journal of Engineering and Technology
Year : 2017, Volume : 8, Issue : 2
First page : ( 71) Last page : ( 72)
Print ISSN : 0976-2973. Online ISSN : 2321-581X.
Article DOI : 10.5958/2321-581X.2017.00011.3

Academic data modelling based on fuzzy-genetic algorithm

Jain Swati1, Jain Vikas Kumar2, Kashyap Sunil Kumar3,*, Kumar Sanjay1

1Department of Computer Science, Kalinga University, Raipur, Chhattisgarh, 492101, India

2Department of Chemistry, Government Engineering College, Raipur, Chhattisgarh, 492015, India

3Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology University, Vellore, Tamil Nadu, India, 632014

*Corresponding Author Email: 7sunilkumarkashyap@gmail.com

Online published on 22 September, 2017.


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 class-variable 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



Data Analysis, FG.


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