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Research Paper | Computer Engineering | India | Volume 13 Issue 1, January 2024
Innovative Approaches in Student Performance Evaluation through Neuro-Fuzzy Intelligent Systems
Ramandeep Kaur [13] | Meenakshi Sharma [5]
Abstract: In this research paper, an intelligent system based on neuro-fuzzy techniques1 is developed for the evaluation of students performance. The system comprises five inputs and one output. The inputs include engagement survey results, students satisfaction levels, special project cost, days present in the last 30 days, and absence records. The output is the performance score5 of a students. Membership functions are defined for each input and output, with three membership functions for each input and four for the output. The proposed work section details specific membership functions, and MATLAB is utilized for the implementation of the entire project. Data for the research is sourced from Kaggle data4, and the accuracy of the proposed technology is reported to be 95%.
Keywords: neuro-fuzzy techniques, student performance evaluation, MATLAB implementation, Kaggle data, performance score
Edition: Volume 13 Issue 1, January 2024,
Pages: 767 - 773