BibTeX:

@article{IJIRSTV2I11259,
     title={Automated Question Paper Generator System using Apriori Algorithm and Fuzzy Logic},
     author={Aishwarya Chavan, Mojitha Mohandas, Rasika Manjarekar, Divya Karekar and Supriya Mandhare},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={2},
     number={11},
     pages={707--710},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV2I11259.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Education has become an integral part of our society today. Hence examinations play a vital role in testing student’s performance. And that is why it is important to have a smart development question model for growth of students as well as to test their learning skills thereby keeping a check on student’s performance. Generating an effective question paper is a task of great importance for any educational institute. The traditional method, where lecturers manually prepare question paper, it is very tedious and challenging. Hence, we present the solution in form of Automated Question Paper Generator System which makes use of Fuzzy and Apriori algorithm. It is made to allow universities to generate question papers with random but even questions to cover most chapters of subject with difficulty level within seconds and mail them to colleges instantly.

Apriori, Examinations, Fuzzy, Student performance, Traditional method