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Discussion on Average Generation of Two-Dimensional Data Sequence in Grey System Theory

机译:灰色系统理论中二维数据序列平均生成的讨论

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摘要

An unequal time interval sequence or a sequence with blanks is usually completed with average generation in grey system theory. This paper discovers that there exists obvious errors when using average generation to generate internal points of non-consecutive neighbours. The average generation and the preference generation of the sequence are discussed, the concave and convex properties show the status of local sequence and propose a new idea for using the status to build up the criteria of choosing generation coefficient. Compared with the general average method of the one-dimensional data sequence, the two-dimensional data sequence is defined and its average generation is discussed, and the coefficient decision method for the preference generation is presented.
机译:在灰色系统理论中,通常用平均生成完成不相等的时间间隔序列或带有空白的序列。本文发现,在使用平均生成来生成非连续邻居的内部点时,存在明显的错误。讨论了序列的平均生成和偏好生成,其凹凸性质显示了局部序列的状态,并提出了利用该状态建立生成系数选择准则的新思路。与一维数据序列的一般平均方法相比,定义了二维数据序列并讨论了其平均生成,提出了偏好生成的系数决定方法。

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