大学追求更好的学习成绩:以模糊逻辑分析为例

H. Ahmad, Nurul Ain Binti Mohd Asri
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引用次数: 0

摘要

该系统采用模糊逻辑的方法来预测学生在大学中追求更好的学习成绩的表现。由于模糊逻辑既适合统计数据库,又适合对优等生和中等生进行一般分类,因此采用了模糊逻辑。这个项目的主要问题是很难预测学生的表现并维持他们的成绩。模糊逻辑方法适用于数据分类,并将通过Matlab simulink对其性能进行分析。此外,为了设计出最稳定可靠的系统,还研究了几种不同的隶属度方法。根据模拟结果,提供了有意义的特征,这些特征对学生在学术课程(BEE和BEP)中取得更好的成绩具有重要意义。此外,该系统将为那些在大学早期不了解大学系统的学生提供更好的学习。
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In Pursuing Better Academic Result In University: A Case of Fuzzy Logic Analysis
A fuzzy logic approach is applied in this proposed system as a method to predict the performance student in pursuing better academic results in university. Fuzzy logic is used because the technique is suitable for statistical database as well as suitable to obtain general classification between excellence and moderate students. The main issue in this project is the difficulties to predict the student’s performance and to sustain their result. The fuzzy logic approach is suitable for data classification and the performance will be analyzed by using Matlab simulink. Besides that, several difference methods of membership were also been investigated in order to design and propose the most stable and reliable system. Based on the results obtained from simulation, it has provided meaningful characteristics that are significant and able to advice student getting better grades in academicals program (BEE & BEP). Moreover, the system will provide better study to student whose do not understand the university system during their early years in university.
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