CAJ | 학술논문

交通运输低碳化能力影响因素众多且相互关联,如何识别和区分其影响因素是学术界研究的焦点。针对传统决策试验与评价实验室方法（DEMATEL）的缺点进行了改进,提出了适合于交通运输低碳化能力影响因素识别的RBF-DEMATEL方法,利用RBF神经网络计算目标指标和影响因素指标之间的权值来得到直接关联矩阵,然后利用传统DEMATEL方法分析交通运输低碳化能力的影响因素。本文利用RBF-DEMATEL进行了实证分析,结果证实了方法的可行性,从而为提升交通运输低碳化能力提供理论支撑。RBF-DEMATEL方法丰富了影响因素研究的理论与方法,为有效地提取根本型影响因素提供了可能性。
교통운수저탄화능력영향인소음다차상호관련,여하식별화구분기영향인소시학술계연구적초점。침대전통결책시험여평개실험실방법（DEMATEL）적결점진행료개진,제출료괄합우교통운수저탄화능력영향인소식별적RBF-DEMATEL방법,이용RBF신경망락계산목표지표화영향인소지표지간적권치래득도직접관련구진,연후이용전통DEMATEL방법분석교통운수저탄화능력적영향인소。본문이용RBF-DEMATEL진행료실증분석,결과증실료방법적가행성,종이위제승교통운수저탄화능력제공이론지탱。RBF-DEMATEL방법봉부료영향인소연구적이론여방법,위유효지제취근본형영향인소제공료가능성。
It is a hot academic topic to identify the influencing factors of transportation low-carbonization capacity which are numerous and interrelated.This study improves the traditional Decision-making Trial and Evaluation Laboratory（DEMATEL） method according to its boundedness and proposes the RBF-DEMATEL method which is suitable for the influencing factors identification of transportation low-carbonization capacity.It exploits the RBF neural network to calculate the weights between object index and influencing factor index and uses the weights to get the direct-relation matrix,then takes advantage of the traditional DEMATEL method to study the influencing factors of transportation low-carbonization capacity.The empirical analysis shows that this method is feasible and can supply theoretical support in improving the transportation low-carbonization capacity,so the RBF-DEMATEL method enriches the theory and method in studying the influencing factors and provides the possibility of extracting the fundamental influencing factors effectively.