中北大学学报（社会科学版）2026，Vol.42Issue(2)：68-77,10.DOI:10.62756/xbsk.1673-1646.2026037
基于对偶犹豫模糊几何加权Heronian平均算子的能源结构分析
Energy Structure Analysis Based on Dual Hesitant Fuzzy Geometric Weighted Heronian Mean Operator
摘要
Abstract
With the promotion of the dual-carbon goal,the position of clean energy in the energy struc-ture has gradually been paid attention to,but Shanxi Province is known to have"the largest coal",coal occu-pies a dominant position in the energy structure,and the current situation of continuous rise in consumption has not been completely changed.In view of this situation,this paper puts forward three schemes to help Shanxi Province's energy structure transformation and upgrading.By inviting experts to evaluate the eco-nomic benefits,environmental benefits,technical feasibility and policy support of the three schemes.In the process of energy scheme decision-making,multi-attribute information often has fuzziness and uncertainty,traditional decision-making methods have limitations when dealing with such complex multi-attribute fuzzy information.The dual hesitant fuzzy geometric weighted Heronian average operator can more accurately reflect the interrelationships among different attributes.When integrating multi-attribute information,it can avoid information loss or distortion,thereby more comprehensively and accurately describing the comprehen-sive characteristics of energy schemes.Therefore,a dual hesitant fuzzy information decision matrix is con-structed.The calculation and analysis are carried out by using the dual hesitant fuzzy geometric weighted Heronian average operator.The results show that scheme C has the largest score function and the exact func-tion and is the best scheme.Finally,based on the conclusion,it provides enlightenment for Shanxi Province in the energy structure transformation.关键词
Heronian平均算子/能源经济/对偶犹豫模糊集/能源结构转型Key words
Heronian mean operator/energy economy/dual hesitantion fuzzy set/energy structure transformation分类
管理科学引用本文复制引用
曲国华,赵阳,李晓明..基于对偶犹豫模糊几何加权Heronian平均算子的能源结构分析[J].中北大学学报（社会科学版）,2026,42(2):68-77,10.基金项目
教育部哲学社会科学研究后期资助项目:考虑对偶犹豫模糊信息的几类多属性决策方法及应用研究(23JHQ093) （23JHQ093）
