摘要
针对小区域历史旱情资料缺乏,获得的只是小样本数据,使用传统统计模型进行概率分析结果稳定性差的特点,借助信息扩散技术对陕西省铜川市的小麦干旱发生规律进行研究,将干旱数据进行集值化处理,把原始样本点转化成模糊集,部分弥补了由于数据的不完备性所造成的信息空白.计算结果表明,该方法能在小样本条件下尽可能充分利用信息,得出符合实际的分析结果.
The history data record for agricultural drought in small region is not enough to be used for estimating the probability distribution. The research is taken on regulation of wheat drought using information diffusion, which can take advantage of more information by transferring single sample to fuzzy set. The result shows that this is a good method for small sample and can get better analysis result.
出处
《华北水利水电学院学报》
2008年第4期11-12,共2页
North China Institute of Water Conservancy and Hydroelectric Power
关键词
信息扩散
农业干旱
概率分布
information diffusion
agricultural drought
probability distribution
