The Application in Score Evaluation of Rought Set
Xueli Ren, Yubiao Dai
Available Online April 2016.
- https://doi.org/10.2991/emim-16.2016.286How to use a DOI?
- Analogy; Score; Rough set ; Attribute Reduction; MAE
- A credit system is the need of higher education development. The grade management is the basis and core of the credit system. Therefore, it is necessary to estimate score as soon as possible. Estimation by analogy is a common method to estimate effort; it is used to estimate scores in the paper. As the courses are not as important in grade table, or even some courses are redundant to estimate score. Reducing the attribute of datasets is one of the core contents in rough set theory. It is applied in reducing the redundant course to improve the accuracy of estimation. Firstly, the equal width method is used to discrete data; then the redundant attributes are reduced by rough set; finally the reduce set is used to estimate score. An experiment is done to show the method feasible. The two methods of without reduction and with reduction are used to estimate scores; the results show that the mean absolution error of the method with reduction is smaller.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xueli Ren AU - Yubiao Dai PY - 2016/04 DA - 2016/04 TI - The Application in Score Evaluation of Rought Set BT - 6th International Conference on Electronic, Mechanical, Information and Management Society PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/emim-16.2016.286 DO - https://doi.org/10.2991/emim-16.2016.286 ID - Ren2016/04 ER -