Abstract
The purpose of this study is to provide an integrated method of fuzzy approach for individualized concept structure analysis. This method integrates algorithm of fuzzy logic model of perception (FLMP) and interpretive structural modeling (ISM). The combined algorithm could analyze the individualized concepts structure based on comparisons with expert. The authors provide the empirical data analysis of concepts on using MATLAB for university students. The results show that students with different response patterns and total score own varied concept structures. Based on the findings and results, some suggestions and recommendations for future research are provided.
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