casa 16(8): e3

Research Article

Assistance to assessing rating students by language tuple- 4 scale

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  • @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
Le Ngoc Hung1,*, Vu Minh Loc2, Huynh Nguyen Thanh Luan3
  • 1: Sai Gon University, Vietnam
  • 2: Ba Ria-Vung Tau University, Vietnam
  • 3: Ho Chi Minh City Industry and Trade College, Vietnam
*Contact email: lnhung@sgu.edu.vn

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.