A novel scoring method for stroke order based on choquet integral with fuzzy measure

Authors:
Guey-Shya Chen;Yu-Du Jheng;Hsiang-Chuan Liu;Shih-Yat Chen
Affiliations:
Graduate Institute of Educational Measurement, Taichung University, Taichung, Taiwan;Graduate Institute of Educational Measurement, Taichung University, Taichung, Taiwan;Department of Bioinformatics, Asia University, Taichung County, Taiwan;Department of Mathematics Education, Taichung University, Taichung, Taiwan
Venue:
ACS'07 Proceedings of the 7th Conference on 7th WSEAS International Conference on Applied Computer Science - Volume 7
Year:
2007

Citing 2
Cited 1

Fuzzy Measure Theory

Fuzzy Measure Theory
Computer-based Assessment for the Stroke Order of Chinese Characters Writing

ICICIC '07 Proceedings of the Second International Conference on Innovative Computing, Informatio and Control

Stroke order computer-based assessment with fuzzy measure scoring

WSEAS Transactions on Information Science and Applications

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Abstract

The purpose of this research is to develop a novel algorithm based on Choquet integral with fuzzy measure for scoring stroke order of Chinese Character writing. The learning of stroke order is very important for a fixed stroke writing character system therefore this research based on the theory of "five indexing system of Chinese characters" and combine the features of strokes develops a computer-based stroke order assessment system to real-time examine learners' stroke orderand score their performances. Except traditional additive scoring model, an non-additive scoring approach based on Choquet integral with λ-measure and L -measure is proposed. A real data set with 65 samples is examined and experiment results show that the performance of scoring model based on Choquet integral with fuzzy measures outperform the performances of traditional scoring methods.