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小麦品种(系)的Fuzzy聚类与识别 被引量:2

FUZZY CLASSIFICATION AND IDENTIFICATION OF WHEAT VARIETIES
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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. 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.
作者 史本广 周晔
出处 《河南工业大学学报(自然科学版)》 CAS 北大核心 2007年第5期71-73,76,共4页 Journal of Henan University of Technology:Natural Science Edition
关键词 Fuzzy聚类分析 Fuzzy识别 模型库 硬度指数 贴近度 Fuzzy classification methods fuzzy identification model database rigidity index closeness
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参考文献4

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二级参考文献11

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