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Intelligent Techniques for Prediction of Engineering Colleges After XII

Intelligent Techniques for Prediction of Engineering Colleges After XII

Mukta Goyal, Rajalakshmi Krishnamurthi, Gokul Gupta, Abhishek Sharma
Copyright: © 2020 |Volume: 11 |Issue: 1 |Pages: 20
ISSN: 1947-9263|EISSN: 1947-9271|EISBN13: 9781799806691|DOI: 10.4018/IJSIR.2020010102
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MLA

Goyal, Mukta, et al. "Intelligent Techniques for Prediction of Engineering Colleges After XII." IJSIR vol.11, no.1 2020: pp.24-43. http://doi.org/10.4018/IJSIR.2020010102

APA

Goyal, M., Krishnamurthi, R., Gupta, G., & Sharma, A. (2020). Intelligent Techniques for Prediction of Engineering Colleges After XII. International Journal of Swarm Intelligence Research (IJSIR), 11(1), 24-43. http://doi.org/10.4018/IJSIR.2020010102

Chicago

Goyal, Mukta, et al. "Intelligent Techniques for Prediction of Engineering Colleges After XII," International Journal of Swarm Intelligence Research (IJSIR) 11, no.1: 24-43. http://doi.org/10.4018/IJSIR.2020010102

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Abstract

Today, students are very confused while selecting colleges based on their ranking after XII standard exam. If students are willing to go for engineering, then they are interested to know the name of colleges on the basis of their merit. The particular college depends on several factors. More and more colleges are interested in mapping students' other features such as extra-curricular activities and financial background, so that they can provide better platforms to sharpen their skills. Thus, this paper proposes an intelligent technique to provide students a platform that will help them to match the colleges based on their academics and extra-curricular qualifications. A fuzzy inference and weighted fuzzy decision tree are used to calculate the score of each student based on the multiple factors of the student where results are shown to be promising.

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