An Integration of Fuzzy theory and ISM for Concept Structure Analysis with Application of Learning MATLAB

Author

Yih, Jeng-Ming ; Lin, Yuan-Horng

Author_Institution

Nat. Taichung Univ., Taichung

Volume

2

fYear

2007

fDate

26-28 Nov. 2007

Firstpage

187

Lastpage

190

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.

Keywords

computer aided instruction; fuzzy logic; fuzzy set theory; MATLAB; concept structure analysis; fuzzy logic model of perception; fuzzy theory; interpretive structural modeling; Algorithm design and analysis; Cities and towns; Cognition; Data analysis; Electronic learning; Fuzzy logic; Information analysis; MATLAB; Mathematical model; Prototypes;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Hiding and Multimedia Signal Processing, 2007. IIHMSP 2007. Third International Conference on

Conference_Location

Kaohsiung

Print_ISBN

978-0-7695-2994-1

Type

conf

DOI

10.1109/IIHMSP.2007.4457683

Filename

4457683