AN APPLICATION OF MUTIL-IMPACT FUZZY NEURAL NETWORK IN RECOMMENDING HIGH SCHOOL STUDENTS BASED ON STUDYING RESULTS

Trần Thị Ngân; Nguyễn Thanh Hương; Nguyễn Thị Dung; Trần Mạnh Tuấn

doi:10.34238/tnu-jst.5723

AN APPLICATION OF MUTIL-IMPACT FUZZY NEURAL NETWORK IN RECOMMENDING HIGH SCHOOL STUDENTS BASED ON STUDYING RESULTS

About this article

Received: 19/03/22 Revised: 12/05/22 Published: 19/05/22

Authors

1. Tran Thi Ngan , Thuyloi University
2. Nguyen Thanh Huong, Co Loa High School - Hanoi
3. Nguyen Thi Dung, TNU - University of Information and Communication Technology
4. Tran Manh Tuan, Thuyloi University

Abstract

Counseling on the selection of exam boards when taking the high school graduation exam and choosing the subjects to apply to the university are very important to high school students. The decision on this period affects directly to the results of exams. This counseling supports students in defining the exam subjects early in order to focus to the carefully preparation and get high results. Moreover, the recommendation of selecting the subjects in graduation exam based on studying results will help students determine the most suitable exam block and major to apply to a university. Variuos soft computing methods have been used in this problem. In this paper, the application of... fuzzy neural network in recommending high school students the suitable subjects in graduation exam based on studying results is introduced. The proposed method is implemented on data set collected from Co Loa high school, Dong Anh, Hanoi.

Keywords

Fuzzy Neural Network; Mutil-impact fuzzy neural network; Recommending; Performance; Rating measure

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DOI: https://doi.org/10.34238/tnu-jst.5723

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