{"title":"模糊理论与ISM在概念结构分析中的集成及MATLAB学习应用","authors":"J. Yih, Yuan-Horng Lin","doi":"10.1109/IIH-MSP.2007.329","DOIUrl":null,"url":null,"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.","PeriodicalId":385132,"journal":{"name":"Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An Integration of Fuzzy theory and ISM for Concept Structure Analysis with Application of Learning MATLAB\",\"authors\":\"J. Yih, Yuan-Horng Lin\",\"doi\":\"10.1109/IIH-MSP.2007.329\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":385132,\"journal\":{\"name\":\"Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIH-MSP.2007.329\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIH-MSP.2007.329","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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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