曲阜师范大学学报（自然科学版）2024，Vol.50Issue(3)：49-56,8.DOI:10.3969/j.issn.1001-5337.2024.3.049
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
摘要
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分类
管理科学引用本文复制引用
周红锦,袁宏俊,胡凌云..基于Hellinger距离和IOWC-GOWA算子的区间组合预测模型[J].曲阜师范大学学报（自然科学版）,2024,50(3):49-56,8.基金项目
安徽省哲学社会科学规划(AHSKY2020D42). （AHSKY2020D42）
