• Every fuzzy variable consists of a series of fuzzy subsets and a fuzzy vector. The fuzzy vector is used to describe these series of fuzzy subset membership function.

    每个模糊变量包括一系列模糊子集和一个模糊向量,这个模糊向量用来描述这一系列模糊子集的隶属函数。

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  • A found method of the standard vector group in a finite generating fuzzy vector subspace is given in this paper.

    给出求有限生成模糊向量子空间中标准向量组的方法。

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  • A classification method based on fuzzy vector space model and radial basis function network is presented in this paper.

    文本提出了一种基于模糊向量空间模型和径向基函数网络的分类方法。

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  • In this paper, the concept of anti fuzzy vector space is introduced. Some parallel results with fuzzy vector space are obtained.

    本文引入反模糊向量空间的概念,得到了与模糊向量空间相平行的一些结果。

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  • Aimed at the problems of document automatic classification, a classification method is proposed based on fuzzy vector space model and RBF network.

    针对文本自动分类问题,提出了一种基于模糊向量空间模型和径向基函数网络的分类方法。

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  • The principle of fuzzy vector quantization (FVQ) for image coding is discussed in this paper, and an exponential fuzzy learning vector quantization algorithm (EFLVQ) is proposed.

    本文分析了模糊矢量量化(FVQ)图像编码的原理,提出了一种指数型模糊学习矢量量化算法(EFLVQ)。

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  • The principle of fuzzy vector quantization (FVQ) for image coding is discussed in this paper, and an exponential fuzzy learning vector quantization algorithm (EFLVQ) is proposed.

    本文分析了模糊矢量量化(FVQ)图像编码的原理,提出了一种指数型模糊学习矢量量化算法(EFLVQ)。

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