CAJ | 학술논문

空港竞争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，提出了适合于影响因素识别的BP—DEMATEL方法，利用BP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方法分析影响因素．利用BP—DEMATEL和空港实证数据进行了实证分析，结果证实了方法的可行性，从而为提升空港竞争力提供理论支撑．BP—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．
공항경쟁력영향인소음다차상호관련，여하식별화구분기영향인소시학술계연구적초점．침대전통결책시험여평개실험실방법（DEMATEL）적결점진행료개진，제출료괄합우영향인소식별적BP—DEMATEL방법，이용BP신경망락계산목표지표화영향인소지표지간적권치래득도직접관련구진，연후이용전통DEMATEL방법분석영향인소．이용BP—DEMATEL화공항실증수거진행료실증분석，결과증실료방법적가행성，종이위제승공항경쟁력제공이론지탱．BP—DEMATEL방법봉부료영향인소연구적이론여방법，위유효지제취근본형영향인소제공료가능성．
It is a hot academic topic to identify the influencing factors of airports competitiveness which are numerous and interrelated. This study improves the traditional decision-making trial and evaluation laboratory （DEMATEL） method according to its limit and proposes BP-DEMATEL method that is suitable for the influencing factors identification. It exploits BP 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 DEMATEL method to study the influencing factors. The empirical analysis of airports competitiveness shows that this method is feasible and can supply theoretical support, so BP-DEMATEL method enriches the theory and method in studying influencing factors and supplies the possibility of exacting fundamental influencing factors effectively.