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一种以秩和为因子的模糊聚类预报法
引用本文:林景荣.一种以秩和为因子的模糊聚类预报法[J].福州大学学报(自然科学版),1988(3):1-6.
作者姓名:林景荣
作者单位:福州大学数学系
摘    要:本文首先以秩和为因子并用模糊聚类的方法对历史样本进行分类,进而提出把样本与模糊子集对应的法则并用模糊贴近原理作出预报。其效果比文[1]有明显的提高。

关 键 词:秩和  模糊聚类  贴近原理

Forecasting by Fuzzy Cluster Method with Rank Sun as Factor
Lin Jingrong.Forecasting by Fuzzy Cluster Method with Rank Sun as Factor[J].Journal of Fuzhou University(Natural Science Edition),1988(3):1-6.
Authors:Lin Jingrong
Institution:Department of Mathematics
Abstract:The method of fuzzy clustering is applied to the classification of the his- torical samples with rank sum as a factor. Furthermore, by the principle of correspondence, samples are matched with fuzzy subsets. Then, the forecasting is given by means of fuzzy nearness theorem. This near method has obviously better efficiency than that described in paper1].
Keywords:rank sum  fuzzy cluster  nearness theorem
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