曲阜师范大学学报（自然科学版）2024，Vol.50Issue(3)：57-65,9.DOI:10.3969/j.issn.1001-5337.2024.3.057
基于改进相关系数和IGOWLA算子的三角模糊数组合预测模型
Triangular fuzzy number combination prediction model based on improved correlation coefficient and IGOWLA operator
摘要
Abstract
The triangular fuzzy numbers can better reflect the uncertain information of the economic system.To improve the prediction accuracy of the triangular fuzzy numbers on the basis of considering the internal wholeness,a new sequence of the three bounding values of the triangular fuzzy number sequence is proposed to be transformed into a new sequence of equivalent information.Taking the prediction accuracy as the inducing factor,the induced generalised ordered weighted logarithmic average(IGOWLA)operator is constructed,the improved Pearson correlation coefficient is selected as the optimal criterion,the prefer-ence coefficient is introduced to construct the model into a generalised single objective planning model,and the effectiveness of the combined prediction model is demonstrated through example analysis.The results show that the combined prediction model can effectively improve the prediction accuracy on the basis of en-suring internal wholeness.关键词
三角模糊数/改进相关系数/组合预测/IGOWLAKey words
triangular fuzzy number/improved correlation coefficient/combination prediction/IGOWLA分类
管理科学引用本文复制引用
杨烨,袁宏俊,陈倩如..基于改进相关系数和IGOWLA算子的三角模糊数组合预测模型[J].曲阜师范大学学报（自然科学版）,2024,50(3):57-65,9.基金项目
安徽省哲学社会科学规划(AHSKY2020D42) （AHSKY2020D42）
安徽省高校自然科学重点项目(2022AH050602) （2022AH050602）
安徽财经大学重大项目(ACK-YA21004) （ACK-YA21004）
安徽财经大学研究生科创基金(ACYC2022363). （ACYC2022363）
