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作 者:施贵刚 刘婉娩 左静瑶 SHI Guigang;LIU Wanmian;ZUO Jingyao(College of Civil Engineering,Anhui Jianzhu University,Hefei 230601,China;The University of Nottinghan-Ningbo,Ningbo Zhejiang 315100,China)
机构地区:[1]安徽建筑大学土木工程学院,安徽合肥230000 [2]宁波诺丁汉大学理工学院,浙江宁波315100
出 处:《佳木斯大学学报(自然科学版)》2024年第11期168-171,共4页Journal of Jiamusi University:Natural Science Edition
基 金:安徽省教育厅高校科学研究重大项目(KJ2019ZD53);安徽省测绘局项目(2023026)。
摘 要:根据研究者们对熵权法(EWM)的研究,将熵权法分为两大类:传统熵权法和改进的熵权法。为了比较传统熵权法与改进的熵权法的优劣,本文选取使用性较高的四种改进的熵权法:基于3标度AHP的熵权法、多层次熵权法、基于RSR的熵权法、标准变化熵权法,构建安徽省乡村振兴评价指标体系,结合评价指标数据进行指标赋权,结果表明:四种方法均可应用于乡村振兴评价领域;在可收集评价指标数据的基础上,标准变化熵权法最优;在指标数据难收集或不易量化时,基于3标度AHP的熵权法最优。According to the research on entropy weight method(EWM),the EWM is divided into two categories:traditional EWM and improved EWM.In order to compare the advantages and disadvantages of the traditional EWM and the improved EWM,this paper selects four improved entropy weight methods with high usability:the EWM based on 3-scale AHP,the multi-level EWM,the EWM based on RSR,and standard variation EWM,and constructs the evaluation index system of rural revitalization in Anhui Province.Combined with the evaluation index data,the index is weighted.The results show that:All the four methods could be applied in the field of rural revitalization evaluation.Based on the collected evaluation index data,standard variation EWM was the optimal method.When the index data is difficult to collect or quantify,EWM based on 3-scale AHP is optimal.
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