Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Knowledge Spaces
Concept diagram on the cognition diagnosis of statistics learning for university students
ISCGAV'10 Proceedings of the 10th WSEAS international conference on Signal processing, computational geometry and artificial vision
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The purpose of this study is to provide an integrated method which aims to analyze individualized concept structure. This method integrates algorithm of fuzzy logic model of perception (FLMP) and interpretive structural modeling (ISM). The combined algorithm of this integrated model could analyze the individualized concepts structure based on the comparisons with expert. The authors provide the empirical data analysis of equality axiom testing for pupils. The results show that task-takers with different response patterns and total score own varied concept structures. Finally, based on the findings and results, some suggestions and recommendations for future research are provided.