Research Article
Assistance to assessing rating students by language tuple- 4 scale
@ARTICLE{10.4108/eai.9-3-2016.151115, author={Le Ngoc Hung and Vu Minh Loc and Huynh Nguyen Thanh Luan}, title={Assistance to assessing rating students by language tuple- 4 scale}, journal={EAI Endorsed Transactions on Context-aware Systems and Applications}, volume={3}, number={8}, publisher={EAI}, journal_a={CASA}, year={2016}, month={3}, keywords={Hedge algebra;similar fuzzy space;language tuple-4 scale}, doi={10.4108/eai.9-3-2016.151115} }- Le Ngoc Hung
Vu Minh Loc
Huynh Nguyen Thanh Luan
Year: 2016
Assistance to assessing rating students by language tuple- 4 scale
CASA
EAI
DOI: 10.4108/eai.9-3-2016.151115
Abstract
In this paper, we introduce an assistance to assessing rating the annual learning and process training of students in the opinion of experts, the approach of hedge algebra. It is advisary to make optimally fuzzy parameters with neural network in order to scale tuple-4 in accordance with current regulations on student assessment annual ranking including 7 levels.
Copyright © 2016 Le Ngoc Hung et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
