Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
A Handbook of Interactive Management
A Handbook of Interactive Management
On causal inference in fuzzy cognitive maps
IEEE Transactions on Fuzzy Systems
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
| Hi-index | 0.00 |
The purpose of this study is to apply an integrated algorithm for knowledge structure analysis. The integrated algorithm includes Item Response Theory (IRT) and Fuzzy Structural Modeling (FSM). The authors use the psychometric model IRT for calculation the ability of task-takers. Based on original response data and item-concept matrix, the individualized fuzzy subordinate matrix is acquired. FSM is applied in the fuzzy subordinate matrix so that individualized knowledge structures is depicted by the hierarchical graphs. According to the empirical data analysis of mathematics test, it shows that the integrated algorithm is an effective methodology for knowledge analysis and cognition diagnosis.