基于Hellinger距离和IOWC-GOWA算子的区间组合预测模型
An interval combination prediction model based on Hellinger distance and IOWC-GOWA operators
周红锦 1袁宏俊 1胡凌云2
作者信息
- 1. 安徽财经大学统计与应用数学学院
- 2. 安徽财经大学管理科学与工程学院,233030,安徽省蚌埠市
- 折叠
摘要
针对区间型数据的组合预测,该文引入了统计学中衡量两个概率密度函数之间相似程度的指标——Hellinger距离作为构建组合预测模型的最优化准则.在已构建的诱导有序加权连续区间的广义有序加权平均(IOWC-GOWA)算子的基础上,将区间数序列转化为实数序列,建立了一种新的区间数组合预测模型,并通过具体的数据进行分析,验证了该模型的有效性.结果表明:该文所建立的基于 Hellinger距离和IOWC-GOWA算子的区间组合预测模型能在单项预测的基础上有效提升预测精度,是一种优性组合预测模型.
Abstract
For the combined prediction of interval data,this paper introduces Hellinger distance,an indi-cator in statistics to measure the similarity between two probability density functions,as the optimization criterion for constructing a combination prediction model,and converts the two-dimensional interval num-ber sequence into a one-dimensional real number sequence on the basis of the constructed generalized or-dered weighted continuous interval(IOWC-GOWA)operator,and establishes a new interval number com-bination prediction model,and conducts comparative analysis through actual data.The validity of the model is verified.The results show that compared with the single prediction method,the combined prediction model can effectively improve the prediction accuracy and is a superior combined prediction model.
关键词
区间组合预测/IOWC-GOWA算子/Hellinger距离/优性预测Key words
interval combination prediction/IOWC-GOWA operator/Hellinger distance/prognosis引用本文复制引用
基金项目
安徽省哲学社会科学规划(AHSKY2020D42)
出版年
2024
国家科技期刊平台
NSTL
万方数据