Abstract:
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。
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Source :
福州大学学报(自然科学版)
ISSN: 1000-2243
CN: 35-1337/N
Year: 1988
Issue: 03
Page: 1-6
Cited Count:
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 2
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