Stroke order computer-based assessment with fuzzy measure scoring

The purpose of this research is to develop a computer-based assessment for stroke order and 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 stroke order assessment system to real-time evaluate learners' stroke order and score their character writings. Except using traditional additive scoring method, a non-additive scoring algorithm based on Choquet integral with λ-measure and L-measure was proposed. A real data set with 121 samples was examined and experiment results show that the performances of this novel scoring model based on Choquet integral with both λ-measure and L-measure outperform the performance of traditional scoring approach.

[1]  Guey-Shya Chen,et al.  Computer-based Assessment for the Stroke Order of Chinese Characters Writing , 2007, Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007).

[2]  Hsiang-Chuan Liu,et al.  A Novel Fuzzy Measure and its Choquet Integral Regression Model , 2007, 2007 International Conference on Machine Learning and Cybernetics.

[3]  菅野 道夫,et al.  Theory of fuzzy integrals and its applications , 1975 .

[4]  G. Klir,et al.  Fuzzy Measure Theory , 1993 .

[5]  Arthur P. Dempster,et al.  Upper and Lower Probabilities Induced by a Multivalued Mapping , 1967, Classic Works of the Dempster-Shafer Theory of Belief Functions.

[6]  Guey-Shya Chen,et al.  A novel scoring method for stroke order based on choquet integral with fuzzy measure , 2007 .

[7]  Glenn Shafer,et al.  A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.

[8]  G. Choquet Theory of capacities , 1954 .

[9]  Kiran Mishra,et al.  An intelligent tutoring system for C++ , 2010, 2010 International Conference on Electronics and Information Engineering.

[10]  Power-transformed-measure and its Choquet integral regression model , 2007 .