摘要
针对基础设施可持续性影响因素复杂,传统的可持续性评价方法难以客观评估基础设施可持续性影响因素的权重,构建了基于关联度的多属性群决策模型,引入综合权重修正矩阵,从信息偏差、一致性和信息熵三个方面对可持续性影响因素权重进行优化,并以实际项目数据为依据,通过实证分析验证了模型的有效性.该评价模型的应用有助于提高基础设施可持续性评价的客观性.
According to the issue that the influence factors of infrastructure sustainability(IS)are abundant and complex,which generates that traditional evaluation methods are difficult to objectively analyze the weight of influence factors of IS.According to this issue,the multi-attributes group decision-making model is established based on the relation degree theory, and introduces comprehensive weightmodification matrices and optimizes the weight of influence factors of IS from three aspects:information deviation,consistency and information entropy. And the model is verified by the empirical analysis in terms of practical project data. The application of this model would improve the objectivity of the evaluation of IS.
作者
孟俊娜
裴勇杰
权乐
许彦斌
MENG Junna;PEI Ymgjie;QUANLe;XU Yanbin(College of Management and Economics,Tianjin University,Tianjin,300072,China;College of Economics and Trade,Tianjin College of Commerce,Tianjin,300170,China)
出处
《同济大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2018年第7期996-1002,共7页
Journal of Tongji University:Natural Science
基金
国家自然科学基金青年科学基金(71403181)
关键词
基础设施
可持续性
影响因素
关联度
多属性群决策模型
infrastructure
sustainability
influence factors
relation degree
multi-attribute group decision-making model