| Fabric Wrinkle Grade Assessment Based on Fuzzy Pattern Recognition |
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| 引用本文： | 杨晓波. Fabric Wrinkle Grade Assessment Based on Fuzzy Pattern Recognition[J]. 东华大学学报(英文版), 2006, 23(6): 33-35 |
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| 作者姓名： | 杨晓波 |
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| 作者单位： | College of Information, Zhejiang University of Finance ＆ Economics, Hangzhou 310012 |
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| 基金项目： | Supported by the Research Fund for the Doctorial Program of Higher Education of China （No. 99025508） |
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| 摘 要： | The basic principle of fuzzy pattern recognition is brief introduced firstly in this paper, which mainly includes fuzzy rules and fuzzy inference system. Then, the algorithm procedure of fuzzy pattern recognition is proposed. Finally, the application of Mamdani fuzzy model is introduced to evaluate fabric wrinkle grade in detail, and used the correlation coefficient between subject and object evaluation to verify the reliability of fuzzy pattern recognition. It shows the method of fuzzy pattern recognition needs not a large number of testing data and the accuracy of evaluation is up to 97.38%.
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| 关 键 词： | 织物 褶皱 模糊识别模式 分级模式 |
| 收稿时间： | 2006-08-20 |
Fabric Wrinkle Grade Assessment Based on Fuzzy Pattern Recognition |
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| YANG Xiao-bo. Fabric Wrinkle Grade Assessment Based on Fuzzy Pattern Recognition[J]. Journal of Donghua University, 2006, 23(6): 33-35 |
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| Authors: | YANG Xiao-bo |
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| Abstract: | The basic principle of fuzzy pattern recognition is brief introduced firstly in this paper, which mainly includes fuzzy rules and fuzzy inference system. Then, the algorithm procedure of fuzzy pattern recognition is proposed. Finally,the application of Mamdani fuzzy model is introduced to evaluate fabric wrinkle grade in detail, and used the correlation coefficient between subject and object evaluation to verify the reliability of fuzzy pattern recognition. It shows the method of fuzzy pattern recognition needs not a large number of testing data and the accuracy of evaluation is up to 97.38%. |
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| Keywords: | fuzzy pattern recognition fuzzy inference. wrinkle grade |
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