模糊理论与ISM在概念结构分析中的集成及MATLAB学习应用

Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007) Pub Date : 2007-11-26 DOI:10.1109/IIH-MSP.2007.329

J. Yih, Yuan-Horng Lin

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引用次数: 4

摘要

本研究的目的是提供一种综合模糊方法来分析个体化概念结构。该方法将模糊感知逻辑模型(FLMP)算法与解释结构建模(ISM)算法相结合。该组合算法可以在与专家比较的基础上分析出个性化的概念结构。作者对大学生使用MATLAB进行概念的实证数据分析。结果表明，不同反应方式和总分的学生具有不同的概念结构。在此基础上，对今后的研究提出了一些建议。

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

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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Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007)

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