| 小麦品种(系)的Fuzzy聚类与识别 |
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| 引用本文： | 史本广,周晔.小麦品种(系)的Fuzzy聚类与识别[J].河南工业大学学报(自然科学版),2007,28(5):71-73,76. |
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| 作者姓名： | 史本广 周晔 |
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| 作者单位： | 1. 河南工业大学,理学院,河南,郑州,450052
2. 河南工业大学,信息科学与工程学院,河南,郑州,450052 |
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| 摘 要： | 利用模糊(Fuzzy)聚类分析的方法对30个小麦品种(系)进行了聚类分析,验证了以硬度命名分类的合理性,并提出了一个标准模型库的概念,借助贴近度理论和择近原理,为其他小麦品种的归类或小麦新品种的识别提供了一种参考方法.
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| 关 键 词： | Fuzzy聚类分析 Fuzzy识别 模型库 硬度指数 贴近度 |
| 文章编号： | 1673-2383（2007）05-0071-03 |
| 收稿时间： | 2007-04-29 |
| 修稿时间： | 2007-04-29 |
FUZZY CLASSIFICATION AND IDENTIFICATION OF WHEAT VARIETIES |
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| SHI Ben-guang,ZHOU Ye.FUZZY CLASSIFICATION AND IDENTIFICATION OF WHEAT VARIETIES[J].Journal of Henan University of Technology Natural Science Edition,2007,28(5):71-73,76. |
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| Authors: | SHI Ben-guang ZHOU Ye |
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| Affiliation: | 1. College of Science, Henan University of Technology, Zhengzhou 450052, China ; 2. School of Information Science and Engineering, Henan University of Technology, Zhengzhou 450052, China |
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| Abstract: | 30 kinds of wheat were analyzed by means of fuzzy classification,and then lists the varieties by rigidity.Hereby,a notion of standard model database is established,which is in turn a reference for the classification of other wheat varieties and the identification of the new varieties by closeness theory and appropriateness principle. |
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| Keywords: | Fuzzy classification methods fuzzy identification model database rigidity index closeness |
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